Hyosung: ARMOUR+ solar plant optimisation platform
Context Solar power plants generate large volumes of operational data. Using this data to continuously monitor performance and asset health can improve reliability and operational efficiency. Challenge Solar plants face variability in generation due to weather, limited real‑time visibility into equipment performance, and inefficient maintenance practices- leading to delayed fault detection, reduced energy yield, and […]
Google: WeatherNext x Agentspace – weather forecasting for energy systems
Context Distribution system operators manage large medium‑voltage (MV) asset bases where targeted refurbishment can improve reliability outcomes and reduce outage‑related costs. Challenge Weather uncertainty creates constraints on planning accuracy, operational responsiveness, and risk management. Conventional forecasting approaches can be limited by processing time, cost, and their ability to represent extreme or low‑probability events. These limitations […]
Google: Carbon intensity measurement & forecasting
Context As electricity systems integrate more variable renewables, the CO₂ intensity of electricity can change significantly over the day. CO₂ intensity describes the amount of CO₂ emitted per unit of electricity generated (expressed as gCO₂eq/kWh) and helps indicate how “clean” electricity is at a given time Challenge Helping businesses and consumers reduce emissions requires accessible, […]
Google: Solar API – application programming interface
Context Rooftop solar projects often require fast, remote assessment of building suitability and expected generation potential to accelerate installations and prioritise sites. Challenge Scaling rooftop solar deployment requires a repeatable way to assess rooftop characteristics (e.g., usable area, shading, and solar potential) across many buildings without relying solely on time‑intensive, manual site assessments. AI Solution […]
GE Vernova: Visual grid analytics
Context Utilities run inspection and maintenance programs across grid assets and related field operations, generating large volumes of visual inspection material that must be reviewed and translated into maintenance and operational priorities. Challenge Traditional asset performance management (APM) provides necessary information but lacks real-world context, slowing down risk detection. AI Solution Cloud-based platform for visual […]
GE Vernova: Grid disruption intelligence and wildfire risk management
Context Utilities operate in service territories exposed to disruption events, including wildfires, across generation, distribution, and transmission activities. The operating environment requires preparedness for disruption impacts on grid assets and customer service continuity. Challenge Wildfires caused up to 68.4 billion USD in damage in the US between 2018 to 2022. The number of wildfires increased […]
GE Vernova: Digital Dynamic Line Ratings
Context Transmission and distribution service operators manage line capacity within operational constraints that are typically governed by predefined line ratings. Decisions on how to utilise deployed line infrastructure depend on confidence in available capacity under prevailing and forecasted environmental conditions. Challenge Static line ratings limit visibility of available capacity on transmission and distribution lines. Operators […]
Enline: Transmission routing optimiser
Context Transmission line routing and tower placement for new or expanded networks is a manual, time-intensive process requiring multidisciplinary analysis of terrain, environmental constraints, land use regulations, and construction costs. Challenge Traditional approaches are slow, error-prone, and do not scale well for large greenfield or expansion projects. The challenge is to optimise routes and placements […]
Enline: Agentic AI grid operator assistant
Context Control rooms in utilities are equipped with multiple platforms such as ADMS (Advanced Distribution Management System), DERMS (Distributed Energy Resource Management System), and EMS (Energy Management System), each with numerous analytical modules. Operators face cognitive overload as they must manually initiate, parameterise, and interpret studies across fragmented tools. Challenge Operators are challenged by latent […]
Enline: AI orchestration of Dynamic Ratings, Topology Control and optimal Power Flow (OPF)
Context Transmission system operators in high-voltage and extra-high-voltage networks must integrate renewable energy sources efficiently. The operational environment is defined by static thermal constraints, manual topology decisions, and power flow optimisation within fixed parameters. Challenge Operators face a three-way optimisation problem: static line ratings underestimate real capacity, topology decisions are made in isolation due to […]