emsvpp
AI AnalysisClassification & Focus Areas
"Renewable and load forecasting powered by proprietary ML and weather models — reduces imbalance penalties for energy suppliers and grid operators."
Domain Affinity
Technology Breakdown
Offerings Products & Services
Demand Forecast
AI-driven demand forecasting solution for energy suppliers and grid operators, using advanced algorithms and real-time data analysis to optimise resource allocation and reduce balancing costs.
EV Charging Stations Demand Forecast
AI platform for forecasting electric vehicle charging demand, enabling operators to optimise charging infrastructure efficiency, reduce operational costs, and improve customer service.
Technical Losses Forecast
AI-based technical losses forecasting tool for energy distribution, delivering precise insights to minimise network losses, enhance grid stability, and improve operational planning.
RES Forecast
AI-powered forecasting platform for renewable energy generation, leveraging proprietary algorithms and weather models to provide accurate predictions and resource aggregation for producers and asset managers.
Prosumers Forecast
AI forecasting solution for prosumers, providing precise predictions of energy production and consumption to support cost reduction and efficient energy management.
Case StudiesReferences & Success Stories
AI-Driven Load Forecasting: Enhancing Electricity Supply Efficiency
E.ON implemented Ogre AI's load forecasting technology to optimize energy trading and reduce costs. The solution achieved a 27% reduction in balancing costs, a 19% reduction in operational costs, and an 80% reduction in forecasting and planning time.
AI Revolution: Reducing Energy Waste
CEZ implemented Ogre AI's wind power forecasting technology at its 600 MW wind farm, achieving a 15% reduction in costs, an 18% decrease in energy waste, and a 19% improvement in energy utilization efficiency.
AI-Powered Forecasting: Enhancing Wind and PV Energy Efficiency
Entech adopted Ogre AI's forecasting for wind and PV assets, achieving an 18% reduction in balancing costs, 95% accuracy in PV forecasting (NMAE), and 93% accuracy in wind forecasting (NMAE).
AI-Driven Technical Losses Predictions: Enhancing Grid Efficiency
Enel deployed Ogre AI's technical losses forecasting solution, leading to a 23% reduction in costs, a 17% increase in energy utilization efficiency, and a 35% improvement in forecasting precision.
Demand Forecasting with AI: Optimizing EV Charging Stations
Verbund utilized Ogre AI's demand forecasting for its EV charging network, resulting in a 78% reduction in balancing costs, a 20% increase in charging station reliability, and a 25% improvement in customer satisfaction.