Enedis: Drone‑image AI inspection for 20 kV overhead lines
Context Medium‑voltage (MV) overhead networks require regular inspection and maintenance at scale.The scale of the network and the need to inspect overhead lines efficiently create constraints on the speed and cost of inspection when relying on previous helicopter-based methods. Challenge Enedis with 310,000 km of 20 kV overhead lines (around 47% of the MV network), […]
Enedis: Low-voltage grid anomaly detection
Context Low‑voltage (LV) networks have traditionally been maintained reactively, with interventions triggered after customer impact.The large‑scale rollout of communicating smart meters creates the conditions to shift toward predictive maintenance by providing high‑frequency, real‑time power‑quality data at scale. Challenge Detecting early signs of LV network issues is crucial to reduce customer impact and improve operational readiness.The […]
EDP: AI‑driven personalised energy recommendations
Context Customers increasingly expect personalised recommendations that go beyond products, enabling more efficient energy use through data‑driven insights. Challenge Delivering relevant, tailored energy‑saving recommendations requires combining customer data and usage behaviour with predictive models and decision rules, while ensuring the recommendations remain actionable and useful for customers. AI Solution Moonshot is an integrated NBAO (Next […]
EDP: Operations and maintenance (O&M) knowledge Copilot
Context For utilities operating a generation fleet spanning hydro, thermal, wind, and solar assets, operations and maintenance (O&M) activities depend on timely access to operational knowledge to support equipment issue diagnosis and maintenance decision-making. Challenge Equipment issue resolution is slowed when operational knowledge is fragmented across multiple sources, making it difficult to diagnose problems quickly […]
EDP: Seasonal energy forecasting
Context Seasonal weather and climate variability can materially affect energy planning and operations, particularly where precipitation and temperature influence production and system conditions. Challenge Uncertainty in medium‑ to long‑term climate conditions (e.g., precipitation and temperature) affects energy planning, hydro management and trading. Traditional forecasting provides limited probabilistic insight at seasonal horizons, increasing operational risk and […]
Aelec: Solar plant operations and maintenance (O&M) automation platform
Context Operation and maintenance activities in solar parks require frequent inspections and interventions, which are traditionally manual, time‑consuming, and difficult to scale. Challenge Solar parks require frequent inspections and interventions, but O&M is often manual and difficult to scale; the challenge is to improve monitoring and responsiveness while reducing on‑site effort and operating costs. AI […]
Aelec: Meteoflow – weather forecasting for energy operations
Context Accurate short and medium‑term weather forecasting enables better energy market decisions and supports lower‑impact operations and maintenance planning. Challenge Power generation operations are highly exposed to weather variability, creating uncertainty in production forecasting, asset dispatch, and maintenance planning. Traditional forecasting approaches lack the temporal granularity and integration required to support short‑ and medium‑term operational […]
Aelec: Mind4compliance – compliance knowledge retrieval and response
Context Ethics & Compliance work applies across the organisation and therefore supports all electricity value‑chain activities. As regulatory requirements expand and become more complex, compliance teams increasingly rely on structured documentation and efficient knowledge retrieval to respond consistently. Challenge Rising volumes of complex compliance requests require manual research across multi‑jurisdiction regulation, leading to slower response […]
Aelec: AIAM – Prioritisation of asset refurbishment
Context Distribution system operators manage large medium‑voltage (MV) asset bases where targeted refurbishment can improve reliability outcomes and reduce outage‑related costs. Challenge DSOs face the challenge to identify which assets are most likely to fail and should be refurbished first, while accounting for both failure probability and the associated risk. AI Solution AIAM applies an […]
Aelec: Power Purchase Agreements (PPA) info retrieval and analysis
Context Utilities managing multiple Power Purchase Agreements (PPAs) often require contract management and procurement teams to analyse and compare contract terms and clauses for decision-making. Challenge PPAs are complex, long, contracts – manually extracting key information such as terms, risks, pricing structures, and clauses is time‑consuming, error‑prone, and limits the ability to efficiently analyse, compare, […]