aimpera VPP
AI-powered platform for forecasting, optimization, and orchestration of distributed assets
…from a single site to a virtual power plant.
Our energy supply is undergoing a fundamental transformation. Generation and consumption are increasingly shifting across a distributed landscape: renewable generators, storage systems, and flexible consumers are decentralized and subject to strong temporal fluctuations. At the same time, requirements for economic efficiency, forecast accuracy, and operational stability are rising. In this environment, virtual power plants are becoming the key solution for controlling decentralized assets in a coordinated, predictive, and market-oriented way.
The aimpera VPP platform addresses this challenge with an AI-based approach. Highly accurate forecasts for generation and consumption are combined with multi-stage optimization across sites, portfolios, and balancing groups. Decentralized assets are orchestrated intelligently, uncertainties are anticipated early, and risks are actively reduced. This results in robust schedules that minimize deviations and enable virtual power plants to operate stably, economically, and predictively across market and system boundaries.
Virtual Power Plant
Aggregation and orchestration of distributed assets across multiple sites—with optimization of local objectives as well as portfolio and balancing-group objectives.
Market & Portfolio Objectives
Consideration of spot market prices (day-ahead & intraday), PPA profiles, individual remuneration structures, and internal portfolio balancing mechanisms.
Central Web Dashboard
Central dashboard for portfolio, market, and operational overviews (history, forecasting, optimization).
Asset Integration
Integration of a wide range of assets: generators (PV, wind), storage systems, flexible consumers, charging infrastructure, heat, etc.
EMS Integration for Local Optimization
Integration of local optimization from the aimpera EMS for forecast-based control and preparation of individual sites for the VPP portfolio.
Proven in Critical Infrastructure
Already successfully deployed in critical infrastructures as well as in companies with distributed site portfolios.
AI Forecasts at Site & Portfolio Level
High-precision AI-based generation and load forecasts for sites and the overall portfolio.
Multi-level Hierarchical AI Optimization
AI-based optimization of assets, sites, and portfolios with simultaneous consideration of local and overarching objectives.
White-label Capable
White-label capable, including custom design and branding.
Developed and optimized for
Energy utilities, municipal utilities & independent power producers (IPPs)
Companies with distributed site portfolios (industry, logistics, retail, real estate)
How it works
The aimpera VPP platform connects locally optimized sites into a virtual power plant. At each site, the aimpera EMS controls generators, storage systems, and flexible consumers predictively and in an operationally reliable manner. These local results are aggregated in the VPP and coordinated across sites. This creates consistent schedules and dispatch signals that simultaneously take individual prosumer sites and the overall portfolio into account.
Hierarchical optimization
The foundation of the optimization is highly accurate, AI-based generation and load forecasts at site and portfolio level. A hierarchical AI optimization links local and higher-level objectives and explicitly accounts for uncertainties. This enables early risk detection, reduces deviations, and supports robust decisions for distributed generators, storage systems, and loads within the virtual power plant.
aimpera
aimpera is a spin-off of the German Research Center for Artificial Intelligence (DFKI) and develops practical AI systems for the energy world of tomorrow. Whether forecasting, control, or operations management, our platform solutions enable intelligent planning and optimization of energy systems—from individual sites to virtual power plants.
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