InfrastructureLatest editionIssue 12
Utility Management
State regulators moved two utility AI and cyber resolutions forward this week. NARUC's water-cybersecurity resolution, which backs minimum requirements and an EPA-authorised standards body, and a resolution endorsing EPRI's SAFERai.power AI-risk framework both cleared committee and go to the Board on 11 Nov.
Full research summary
State regulators moved two utility AI and cyber resolutions forward this week. NARUC's water-cybersecurity resolution, which backs minimum requirements and an EPA-authorised standards body, and a resolution endorsing EPRI's SAFERai.power AI-risk framework both cleared committee and go to the Board on 11 Nov. An independent look at Project Watershed 250 shows why minimums alone are not enough: free assessments and AI tools expose gaps that small water systems lack the money, staff and governance to fix. On operations, Anglian Water reports control-room time savings from AI, a Reclamation-funded guidebook sets guardrails for treatment-plant ML, UAMPS and Basin Electric picked a transmission-scheduling agent, and APPA joined EPRI's AI forum. Gas, metering/billing and measured stormwater were thin.
Read the edition Previous: Issue 11, November 9All Utility Management editions
What this stream covers
Public and municipal utilities: water and wastewater, electric co-ops and municipal power, gas, stormwater, grid and asset management, metering and billing, and utility OT/AI security. Focus on utility operations, infrastructure resilience and operational technology security.
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- Cross-source patterns
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What the evidence supports, and what it leaves open
3 patterns this edition will stand behind, each carried by at least two independent sources. Every one arrives with the question it has not answered.
- Water-cyber expectations are rising while free federal support shrinks, leaving remediation funding unresolved
Operating questionFor every open finding from a recent cyber assessment, who owns the fix, what does it cost, and which funding source pays for it after free programmes end?
- Regulators and public power are routing utility AI governance through EPRI-led frameworks
Operating questionDoes the utility have a current register of AI tools with owner, autonomy level and override, ready to map to EPRI or regulator frameworks?
- Operational AI in water and power is being staged: advisory first, measured, then expanded
Operating questionWhat measured baseline and concurrent comparison will decide whether an AI tool moves from recommending to acting?
Research through your lens
Every resource includes source evidence and takeaways for all three roles.
Evidence in this micro-vertical
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Anglian Water and Aiimi report first AI Accelerator results: control-room dashboard saves two hours per person per day; pollution-response assistant used on live incidents
Anglian Water and Aiimi published first results from their AI Accelerator. The Situational Awareness Solution, an AI dashboard for control-room teams, is said to save two hours per person per day on shift handovers (about 62.5 working days a year), to have helped mitigate pollution events and improved compliance scores; it is now deployed across the business as a microservice. The Surfacing Historic Mitigating Actions assistant analyses hundreds of thousands of past events to surface root causes, lessons and knowledgeable colleagues; within two months it helped heavily mitigate one potential pollution event and reduced another to zero environmental impact. A steering group has identified 50+ use cases; tools field-tested 'under safe conditions' with security, data protection, model risk management and explainability built in, and metrics gathered throughout. Runs on a Microsoft stack; part of a multi-million-pound deal of up to eight years.
Limitations & uncertainty
Vendor and client self-reported; vendor commercial interest; UK regulatory context; no independent evaluation; measurement method undisclosed.
APPA joins EPRI's invitation-only AI-Power Exchange (APEX) to track AI use and AI-driven load for public power
APPA has joined EPRI's AI-Power Exchange (APEX), unveiled in early November as a global, invitation-only forum on AI capabilities and AI-driven electricity demand and their effect on reliability, resilience and affordability. The advisory panel kicked off in Orlando alongside EPRI's DCFlex data-centre flexibility meeting. APEX brings together regulators, national labs, universities and public-benefit organisations to reduce duplication and explore AI use cases, power-system constraints and regulatory alignment. APPA's representative is Michael Coe, VP of Physical and Cyber Security Programs, who says APPA will act as a bridge to keep members informed on AI for power operations. APEX complements DCFlex and EPRI's Open Power AI Consortium.
Limitations & uncertainty
Announcement only; no deliverables; relevance to small municipal utilities depends on how APPA relays outputs.
- Source
- Shepparton News
- Published
- 2026-11-10 (Australian date on page; evening of 9 Nov in America/Chicago)
Goulburn-Murray Water's in-house AI condition monitoring flagged critical pump vibration and staff stopped the pump within eight minutes
G-MW's managing director writes that the authority's Electrical and Mechanical Services team built a condition monitoring system by fitting vibration sensors to pump motors at Tungamah pump station, linking them to motor and power monitoring panels and to AI that flags unusual patterns for staff. During the pilot it detected critical vibration on Main Pump 1; staff assessed the alert and stopped the pump before catastrophic failure, all within eight minutes. He stresses staff remain responsible for decisions and that G-MW is also investigating drones, LiDAR, aerial imagery, AI and remote survey boats to prioritise channel maintenance.
Limitations & uncertainty
Single anecdote from the authority's own leader; no evaluation method, baseline or false-positive information.
- Source
- NARUC resolutions packet (PDF)
- Published
- 2026-11-10 (5:00 PM version of the committee-passed resolutions packet)
NARUC water-cybersecurity resolution (WC-1) and EPRI SAFERai.power AI-governance resolution (EX-1) clear committees; Board vote set for 11 Nov
NARUC's 10 Nov packet lists resolutions that passed the standing committees at the 2026 Annual Meeting. WC-1 (water cybersecurity), sponsored by Commissioner Bange, was sponsored by the Committee on Water on 9 Nov. It supports minimum cybersecurity requirements for all drinking water and wastewater operators while preserving state authority. It urges Congress to reauthorize and fund CISA, to require utilities to share cyber-attack information exempt from FOIA, and to authorize an EPA-created, non-governmental Water Risk and Resilience Organization (WRRO) to set minimum requirements. Its findings: about 50,000 community water systems, only 11% under commission jurisdiction; attacks on utilities in at least 12 states in July–August 2026; CISA has lost about a third of its staff since 2025 and stopped six free assessments in September 2026. EX-1, passed by the Executive Committee on 8 Nov, commends EPRI's SAFERai.power initiative (risk framework, assessment protocols, playbooks, toolkit) and supports state-regulator participation. The Board adoption lines are still blank; the Board meets 11 Nov.
Limitations & uncertainty
Not yet adopted; text could change at the Board. NARUC resolutions are advocacy and carry no regulatory force. WC-1 addresses Congress; EX-1 concerns electric utilities only.
UAMPS and Basin Electric win OATI AI use-case challenge for an agent that chooses book-out vs physical flow, buys transmission and builds e-Tags
At OATI Energy Conference 2026, UAMPS (wholesale supplier to 50 community-owned systems in seven states) and Basin Electric (G&T owned by 138 member co-ops in nine states) jointly won an AI use-case workshop with an agent concept: decide whether a transaction should be a financial book-out or physical flow under current market conditions, find and buy transmission on the right path, build the e-Tag, and pre-build an alternative route and tag in case of curtailment. OATI will develop it with schedulers and traders on its OASIS and e-Tagging systems; each organisation gets a year of complimentary service. OATI's guidance lists constraints that make pilots 'rise or stall': NERC CIP, operator trust and data availability.
Limitations & uncertainty
Concept stage; vendor marketing; no independent assessment; results may not apply to distribution-only municipal utilities.
Project Watershed 250: free red-team and AI tools for Texas water utilities expose a remediation and funding gap once the six-month pilot ends
Feature on Project Watershed 250, a six-month pilot launched 31 Aug 2026 by ONCD and Texas Cyber Command with EPA and CISA. Participating utilities get red-team assessments, AI tools, threat intelligence, training, remediation help and defensive tools free. Texas has more than 7,400 public water systems and 3,000 wastewater facilities. Practitioners from West Yost, I&C Secure, Dispel and the Roosevelt Group say finding vulnerabilities is easy but fixing them needs hardware, scarce OT staff and money. They note six months is barely enough to start, tools carry recurring licence fees, and governance and team friction often stall fixes. Texas Cyber Command bars automatic conversion to paid services after the pilot. Federal funding is fragmented: SRF loans need a 20% state match; SDWA 1433(g) and 1459G expired unfunded; resilience grants reach only systems serving 10,000+ people; EPA's $11.75M in August grants went to 10 midsize and large systems.
Limitations & uncertainty
Trade press with commentary; includes a vendor executive (Dispel). Pilot is ongoing with no published results. Texas-specific programme.
Indiana water utilities weigh AI-accelerated cyber threats as SEA 459 assessment and reporting duties fall hardest on small systems
Reporting on Indiana water and wastewater cybersecurity: IDEM says some utilities saw outside activity on their networks this summer with no operational disruption. Indiana's 2025 Senate Enrolled Act 459 requires covered utilities (serving at least 500 people, plus certain treatment works) to run annual cybersecurity evaluations, name a state contact and report incidents. Citizens Energy Group's security director says AI is accelerating both attacks and defence ('a bit of an AI arms race'), that the utility uses AI agents to comb data, and that it isolates OT from the internet with layered controls. Cybertrack (Purdue/IU) warns that corrupted monitoring data can drive incorrect responses. Ice Miller notes about 80% of water infrastructure is run by local governments with limited resources. Tipton Municipal Utilities, attacked in 2024, says SEA 459's impact was minimal because it already ran evaluations.
Limitations & uncertainty
Single-state local reporting; no data on compliance rates or outcomes; AI claims are practitioner opinion.
- Source
- DHI
- Published
- DHI project page (accessed 5 Nov 2026; undated body)
Opti-SITE: Danish and Swedish utilities train ML and radar nowcasting for stormwater and nature-based siting
The Interreg Öresund-Kattegat-Skagerrak Opti-SITE project, described on DHI's site, is building decision-support tools that combine machine learning (including graph neural networks), multi-objective optimisation and real-time radar rainfall to site nature-based solutions (rain gardens, basins, ponds) and to nowcast combined sewer overflows. A prototype ML model with benchmarking and training-data workflows is reported done; final optimisation tooling and radar-hydrodynamic integration remain next steps. Testing is with utilities HOFOR and NSVA in Copenhagen and Landskrona. Results are expected to feed DHI's CityFlow Live product.
Limitations & uncertainty
Vendor page; incomplete tooling; European pilots; no US measured results; publicationDate unknown.
- Source
- Accenture
- Published
- Accenture case study page (accessed 5 Nov 2026; undated)
Duke Energy and Accenture build an Azure AI/satellite platform for gas-distribution methane monitoring
Accenture's case study describes an Azure-based platform co-built with Duke Energy, Avanade and Microsoft that uses satellite monitoring, analytics and AI to quantify and prioritise methane emissions from gas-distribution assets such as pipelines and meters, supporting Duke's 2030 net-zero methane goal for the gas business. The page claims workers are finding leaks in minutes versus physical inspection and that the platform is already delivering more accurate leadership insights, while still framing full scale-up across asset types and jurisdictions as future work. No independent measurement, leak counts or emissions tonnes are published on the page.
Limitations & uncertainty
Vendor marketing; undated; IOU scale may not match small municipal gas systems; no public quantified emissions results.
AEML: integrating IT/OT, ML and agentic AI for distribution—recommendations only, humans approve execution
Power Line's 6 Nov 2026 feature on AEML describes SCADA, GIS, OMS and CRM in place, a data lake for KPIs, and ML for asset health, load forecasting and consumer segmentation under human oversight. Next focus is agentic AI correlating smart meters, SCADA, OMS, GIS and customer platforms to recommend outage restoration, with authorised personnel approving execution. The article warns uncontrolled agents could initiate actions with serious operational consequences, and cites cybersecurity, access controls, segmentation, data-protection law and skills as constraints. Stated 99.99% supply reliability is overall utility performance, not attributed to agentic AI, which remains prospective.
Limitations & uncertainty
Utility-sourced via trade press; agentic orchestration proposed, not measured. India-specific regulation. Reliability stats are not an AI outcome.
Bluefield: European digital water spend to more than double by 2036, led by metering, analytics and AI-native tools
Water Magazine's 6 Nov 2026 summary of Bluefield's Europe Digital Water Landscape 2026-2036 projects annual digital water spend from US$12.6B to US$27.9B by 2036 (8.25% CAGR; ~US$211.8B cumulative). Metering and customer management grows at 7.8% CAGR, with meter data management and customer engagement at 10.1% and 14.5% CAGR as AMI expands. AI-native digital water solutions are forecast at 17.8% average annual growth—more than twice the overall market—building on existing monitoring. Conventional CCTV still accounts for 39% of spending across key wastewater network monitoring strategies. Information management is the fastest-growing category (11.3% CAGR) as cybersecurity needs rise with connected meters and sensors.
Limitations & uncertainty
Forecast not measured outcomes; Europe-specific funding. Secondary summary of proprietary report. CCTV share shows AI inspection has not displaced conventional methods.
Singapore CSA advisory AD-2026-014: secure remotely accessible OT control systems after European refrigeration attacks; applies to water and energy utilities
CSA's 6 Nov 2026 advisory responds to October–November 2026 attacks in which threat actors reportedly gained remote access to refrigeration management systems at hundreds of supermarkets in France and other European countries and manipulated temperatures; weak/default credentials, outdated software and insufficient access controls are cited as potential weaknesses, with intrusion methods still under investigation. CSA says similar risks apply to energy and utilities infrastructure and water treatment and distribution systems, and recommends removing internet exposure, VPN and MFA for necessary remote access, IP/account allowlists, restricting vendor channels, patching, IT/OT segmentation, monitoring of remote access and alarm/safety setting changes, and incident procedures including reverting to local or manual control.
Limitations & uncertainty
Incidents involved refrigeration, not utilities; relevance to water/energy is CSA's stated extrapolation. Singapore guidance has no U.S. regulatory force; intrusion methods are under investigation.
- Source
- LCRIG (Local Council Roads Innovation Group)
- Published
- 2026-11-06
Staffordshire County Council adopts AI camera monitoring at selected trash screens to target flood-risk maintenance
Staffordshire County Council, which manages over 300 trash screens, has adopted KaarbonTech's SMART Shot AI self-running cameras at selected locations to capture and analyse images for changes in debris accumulation and alert officers to developing blockages. The baseline stated is that one inspection of every screen takes a two-person crew about 75 working days at an estimated £30,000. The council expects earlier visibility, prioritised response during heavy rain and longer-term data on where debris recurs to inform maintenance planning. A council lead says it will save money in the long term. No measured results, number of sites or detection accuracy are reported.
Limitations & uncertainty
Vendor-originated release; 'selected locations' unspecified; no accuracy, false-alarm or cost-saving measurements; UK local-authority context.
K-water export pilot in Sri Aman, Malaysia: AI-screened acoustic survey confirmed 23 leaks in four days, vendor reports targets met
WI.Plat reports a Sep–Oct 2026 pilot for JBALB Sarawak with 75 smart sensors and handheld acoustic devices. 4,004 leak-sound records were collected; AI flagged suspected leak areas for a focused second survey. In four days the team confirmed 23 leaks, with repairs at 16 points checked on site. Reported targets met: leak detection accuracy 95%+ on 2,063 held-out records, 97.96% data collection rate, and 100% field match for AI-suspected points.
Limitations & uncertainty
Vendor-authored; 100% field match says nothing about false negatives; Malaysian network conditions differ from U.S. systems.
Quebec engineering firm pitches 72-hour AI urban flood forecasting for municipalities, recommending 5–6 sensor pilots
Avizo and CANN Forecast presented InteliFlow on 4 Nov 2026: a platform combining weather models, rain gauges and local level/flow sensors with AI to forecast water levels and flows up to 72 hours ahead. Sensor data is quality-controlled before modelling, alerts are configurable to municipal thresholds (24/48/72 h), a shared dashboard serves water, public-safety and communications teams, and data is owned by the municipality and exportable for PCSWMM calibration. Avizo recommends a targeted pilot of five to six sensors over 10 to 12 weeks.
Limitations & uncertainty
Marketing material; Canadian context; no performance data.
Spain's largest gas distributor starts ML-assisted pressure-control pilot to cut leakage; sponsored piece cites UK and Stockholm results
Sponsored La Razón article (5 Nov 2026) says Nedgia has started a pilot in Igualada with Utonomy to adjust low-pressure network pressure to real-time demand using sensors, remote communications and AI, retrofitted on existing regulators. It cites prior results: an SGN/Utonomy six-month trial in southern England (Oct 2024–Mar 2025) cut regulator pressure by up to 31% with a projected 16% average methane reduction on equipped sections, and Gasnätet Stockholm cut average night pressure from 15 to 12 mbar, about 20% lower losses. Utonomy's release says the six-month pilot is two months of installation and data generation then four months of operation and validation, starting with monitoring and remote set-points before a machine-learning optimiser.
Limitations & uncertainty
Sponsored by the operator's parent; figures from vendor trials; European regulation and network design differ from U.S. systems.
- Source
- LoyJoy
- Published
- LoyJoy case study (live since autumn 2026; page undated)
Stadtwerke Witten's AI phone agent handles meter readings and payment changes, resolving about half of calls
Since autumn 2026 an AI phone agent answers Stadtwerke Witten's hotline, handling monthly payment changes, meter readings, callbacks and tariff advice. It reads back amounts and meter readings for confirmation and hands structured requests to departments. The vendor reports about 50% of requests resolved during the call versus under 5% with the previous phone bot, after a few weeks live, and EU-hosted operation.
Limitations & uncertainty
Vendor-authored, undated page, short live period; 'resolved' not defined. Included because it reports autumn 2026 live results in a thin subtopic.
ISMG: frontier AI agents can execute OT attack steps with human guidance, collapsing entry barriers, but fully autonomous OT hacks remain noisy and unproven
ISMG reports on two research efforts: Booz Allen Hamilton tested two undisclosed leading frontier models as agents in an air-gapped multi-vendor OT lab (enterprise, industrial DMZ, plant operations and production zones with PLCs, HMIs, SCADA server and VFD), and Frenos tested frontier and open-weight models in a written-exam format. The article says models could more or less reliably execute each step of a multi-stage OT attack chain with some human guidance, but attacks were often inefficient and noisy; Booz Allen's report states specialised OT knowledge is no longer a meaningful barrier. Independent voices (Center for Internet Security's Marcus Sachs) caution that OT knowledge barriers were never insurmountable and against overstating the danger, while Dragos and Armadin comments point to water and power utilities as exposed targets.
Limitations & uncertainty
Secondary reporting of vendor/consultancy research with undisclosed models and lab environments modelled on manufacturing, not water or power. No measured utility-specific outcomes; experts disagree on degree of risk.
- Source
- InsideEPA / Inside Washington Publishers
- Published
- InsideEPA Daily News, 4 Nov 2026
InsideEPA: NARUC draft resolution would urge Congress to create an EPA-backed WRRO for water cybersecurity
On 4 Nov 2026 InsideEPA reported that a NARUC draft resolution scheduled for approval at the 8–11 Nov 2026 annual meeting would call on Congress to create a Water Risk and Resilience Organization (WRRO) under EPA oversight to set minimum cybersecurity requirements for water systems, and to expand cybersecurity resources after federal cuts. The publicly visible teaser also links the proposal to heightened stakes from geopolitical conflict. Full article text is paywalled; the official NARUC draft PDF could not be retrieved from pubs.naruc.org during this run.
Limitations & uncertainty
Paywalled source; draft may change before the Board vote; teaser does not quote full resolved text; not an AI-product evaluation.
Oshawa Power upgrades AI virtual assistant Watt to handle moves, balances and bill due dates
Oshawa Power launched an upgraded virtual assistant, Watt, that uses AI to understand questions and complete tasks 24/7, including starting or stopping service for moves and checking balances or bill due dates. The utility says move requests and balance inquiries are more than 25% of customer service calls, and Watt uses multi-factor verification before account updates or sharing account information. Human agents remain available.
Limitations & uncertainty
No results yet; vendor and model not named; utility site not accessible to verify directly.
- Source
- Water Leakage Reduction Xchange USA
- Published
- Water Leakage Reduction Xchange insight, 3 Nov 2026
Brownsville PUB starts AMI-based customer leak alerts by text and email
On 1 Nov 2026 BPUB began texting or emailing customers when AMI data shows prolonged water use, with notices every 24 hours, weekly or biweekly depending on consumption. The AMI program, funded partly by a $5 million 2023 WaterSMART grant, replaces over 17,500 manual meters and retrofits almost 40,000 more, with full deployment expected by 2027 and a target of conserving 2,103 acre-feet a year. Alerts come only from short code 96681 and never request payment.
Limitations & uncertainty
Not an AI deployment; no measured leak or water savings yet; secondary source.
- Source
- The Asia Business Daily
- Published
- The Asia Business Daily, 3 Nov 2026 14:27 KST
Korea's environment ministry reports AI flood forecasts at 223 points and a first urban flood-forecast pilot in six Seoul districts
Reporting the ministry's 2026 summer flood review: AI-based forecasts automatically predicted water levels at 223 flood-warning points at 10-minute intervals, with forecasters double-checking them against observed levels and physical-model results. Urban flood forecasts predicting flood extent and depth were piloted in six Seoul districts, issuing a first advisory on 9 July; the ministry will assess the pilot and plan nationwide expansion. Pre-releases cut dam sluice-gate releases to 23 from 69, and 17,688 km of stormwater pipes were dredged.
Limitations & uncertainty
Secondary report; ministry document not opened. Low-rainfall year overall, so performance in extreme conditions is lightly tested. National agency, not a municipal utility.
NARUC 2026 Annual Meeting draft resolutions: WC-1 water cybersecurity WRRO and EX-1 EPRI SAFERai.power AI governance
Draft resolutions for the 8-11 Nov 2026 NARUC Annual Meeting include WC-1, urging Congress to reauthorize and restaff CISA (citing roughly one-third workforce loss since 2025 and September 2026 cuts to six free cyber assessments for water utilities), strengthen WaterISAC sharing with FOIA protections, and authorize EPA to create an independent non-governmental Water Risk and Resilience Organization (WRRO) for minimum drinking water and wastewater cybersecurity requirements. The draft cites attacks on water utilities in at least 12 states in July-August 2026 and notes only about 11% of community water systems fall under commission jurisdiction. EX-1 separately commends EPRI SAFERai.power for an operational risk framework and open-source tools assessing electric-utility AI by context, consequence, autonomy and risk, and supports state regulator engagement. Adoption date blanks remain open.
Limitations & uncertainty
Draft only; Congress must still act for WRRO/CISA changes. SAFERai tools are under development. Incident and staffing claims are as stated in the draft.
Ofwat-funded Smart Alarm Management project completes AI architecture, roadmap and draft industry alarm guidelines
The GBP 1.6 million Ofwat Innovation Fund SAM project reports two milestones: its technical workstream finished architectural designs and an AI roadmap (alarm grouping by root cause, auto-recommended actions), and a first draft of industry Alarm Management Guidelines, based on oil and gas alarm standards, is complete and will go to partners and the Water Control Room Forum for comment. Partner controllers provide alarm data. An earlier proof of concept reportedly cut alarm volumes by up to 75%.
Limitations & uncertainty
Milestones are design documents, not deployed results. The 75% reduction is unverified. UK regulatory context.
UBC researchers show 'ICS-Sniper' traffic-analysis attack can disrupt cloud-connected water treatment without breaking encryption
UBC researchers describe ICS-Sniper, an attack in which an adversary who has compromised a router between a facility and a cloud-based monitoring/control service analyses the timing and size of encrypted messages to predict critical commands and selectively drop a small fraction of them. On a cloud-adapted version of the SUTD water-treatment testbed (software and hardware controller variants, simulated physical process), one test delayed clean-water pumping by about 15 minutes and another left a simulated valve open more than nine minutes longer than intended, while evading the attack detectors the team tested. Traffic analysis was also tested on several ICS protocols including a power-grid dataset, but operational disruption was demonstrated only in the water models. Proposed defences are padding/timing obfuscation and alternative communication routes; code and data were released. The paper is accepted to NDSS 2027.
Limitations & uncertainty
Lab-only demonstration on a research testbed with simulated physics; attacker must first compromise an intermediate router. Real-world prevalence and impact are unknown. Release is university communications; paper not inspected here.
Freeland Municipal Authority puts a digital twin, leak loggers and AMI to work on non-revenue water
Freeland Municipal Authority, serving about 3,900 residents through 2,100 connections, implemented a $225,033 digital twin integrating Bentley OpenFlows WaterSight with 74 acoustic leak loggers, 15 AMI smart meters, SCADA and other operational data, supported by a $203,500 Susquehanna River Basin Commission grant. Middleware translated incompatible legacy SCADA formats; staff relocated and calibrated loggers to reduce traffic and equipment noise. HRG provides monthly analytics reviews. The Authority reports reduced time, labor, fuel, chemical use and energy spent locating leaks, but no quantified water-loss reduction is published.
Limitations & uncertainty
Qualitative benefits only; vendor and consultant co-authored narrative risk; AMI coverage is still limited (15 meters).
GridForesight: Swedish grid companies and AI Sweden build an AI agent that tests thousands of grid-planning alternatives
In the GridForesight project, grid companies and AI Sweden are building an AI agent to support grid planning. It reaches the same calculation models that planners use in their graphical planning tool through an API, so the calculations are the same whether a person or the agent runs them. Right now the agent can produce current-state analyses and simple forecasts. Later phases are planned to add suggestions for minor technical measures and then larger, structure-changing proposals. Umeå Energi's head of grid planning says a person can test a handful of alternatives while the agent can test thousands, which could free capacity with minor measures. The project names manual, repetitive calculations for connection requests and an ageing planner workforce as reasons for starting.
Limitations & uncertainty
Early-stage project with no published results. Swedish regulatory context; the list of participating grid companies beyond Umeå Energi is not given.
Gyeongnam Energy recognised for AI-based situation room and drone response that shut off gas supply during Geoje landslides
Gyeongnam Energy received a provincial governor's commendation on 29 Oct 2026 for gas safety work including an AI-based integrated situation room and an emergency-response system using drones and real-time video. During heavy rain in Geoje in August, landslides buried and damaged gas facilities at one apartment complex, and the company immediately cut supply to 384 households; at another site with ground collapse it shut buried valves for 60 households and restored supply after joint inspection with the Korea Gas Safety Corporation. The article says the AI room and drones are expected to speed decisions on shut-off, and that linking rainfall, ground-subsidence and pipe pressure and flow data would strengthen early warning. It also says AI outputs need to be tied to field judgment, with backup for communications failures and joint drills.
Limitations & uncertainty
Award-driven report; AI role in the Geoje response is not specified. Korean investor-owned regional distributor, not a US municipal utility. Korean-language source.
ITpipes opens AiDetect AI sewer defect coding to agencies and contractors using any inspection software
Underground Construction reported on 2 Nov 2026 that ITpipes opened AiDetect to wastewater agencies and contractors not using ITpipes software. Users upload a NASSCO exchange database with video; AiDetect assigns PACP code, distance and severity; NASSCO-certified reviewers check low-confidence items; agencies can verify against video before import. Model described as trained on 15 years of North American inspection data. CEO emphasises AI first pass with agency/contractor final say. Available now for mainline inspections in the U.S. and Canada. No measured coder-day savings or accuracy trial statistics appear in this article.
Limitations & uncertainty
No published precision/recall; vendor-trained model; mainline only U.S./Canada. Trade press may reflect vendor messaging.
- Source
- Aalto research portal (Journal of Environmental Management)
- Published
- 2026-11-01
Integrating ML failure probabilities and tracer-based infiltration for sewer asset-management screening
A 1 Nov 2026 Journal of Environmental Management article (Vol. 419, 131130) combines IPCW-weighted ML failure probabilities from CCTV with independent dry-weather tracer infiltration estimates (EC and COD) across 21 operational zones. Zone rankings from ML structural failure probability and tracer infiltration severity showed positive but statistically uncertain agreement (Kendall tau-b 0.254-0.305; p 0.108-0.056; concordance index 0.628-0.655). Authors present dual-evidence screening as practical when CCTV coverage is incomplete, not as a validated pipe-level predictor. Full PDF returned 403 during this run; findings are from the opened abstract/record.
Limitations & uncertainty
Abstract-level inspection; PDF 403. Finnish network; uncertain statistical agreement means mixed. Not a product evaluation.
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