aimpera EMS

// automated, secure, and flexible to deploy

AI-powered energy management platform

…for predictive optimization of generation, consumption, and storage

The requirements for modern energy management have fundamentally changed. Rising energy prices, volatile renewable generation, and increasing electrification of mobility, heating, and industrial processes are leading to significantly more complex load and generation structures. At the same time, many sites are reaching the limits of their grid connection capacity. Traditional energy management systems that primarily monitor and intervene reactively are not designed for this level of dynamism.

The aimpera EMS addresses these challenges with a predictive, AI-based approach. Highly accurate, AI-based forecasts for generation and load provide the foundation for AI-driven optimization, which automatically generates reliable, operationally feasible schedules for controllable consumers and storage systems. In doing so, technical constraints, operational safety, and load control are consistently taken into account. This treats a site’s energy infrastructure as an overall system and orchestrates it intelligently—with the goal of reducing costs, avoiding grid bottlenecks, and keeping the operation of energy-intensive assets stable and efficient over the long term through intelligent storage integration and load shifting.

AI-based optimization approaches of the aimpera EMS platform

Overview of the AI-based optimization approaches of the aimpera EMS platform—from self-consumption and storage integration to peak shaving, as well as grid/spot market and procurement optimization.

Modular Platform

Modular energy management platform based on highly accurate load and generation forecasts as the foundation for control and optimization.

Digital Twin

Digital representation of a site’s energy infrastructure, including flexible modeling of metering points and distribution levels.

Vendor-agnostic

Compatible with common edge controllers, local EMS, and control devices—independent of manufacturer.

AI-assisted Optimization

Rolling optimization of flexible loads and storage with automated schedule creation under technical constraints and operational safety requirements.

Optimization Approaches

Consideration of dynamic electricity prices, PPA profiles, grid charges, and self-consumption to derive economically optimal schedules.

Proven in Practice

Successfully deployed in industry & commerce, charging infrastructure, heating networks, and public infrastructure.

Asset Integration

Integration of a wide range of assets: meters, generators, storage systems, charging infrastructure, and heating/cooling technology.

Monitoring & Retraining

Continuous quality monitoring and automated model retraining to ensure the best possible optimization results.

White-label Capable

White-label capable, including custom design and branding.

// Users and application scenarios

Developed and optimized for

Industrial & commercial customers
holistic optimization of energy consumption, on-site generation and storage, reduction of energy costs, transparent control of complex sites

Industrial & commercial customers

Energy utilities, municipal utilities & IPPs
scalable energy management solutions for own assets and customer installations, integration of forecasts, flexibilities, and market-side constraints

Energy utilities, municipal utilities & IPPs

Virtual power plants & aggregators
local optimization of individual sites and assets as a building block for higher-level aggregation and VPP structures, preparing for cross-site dispatch and marketing logic

Virtual power plants & aggregators

Operators of energy infrastructure, districts & sites
cross-site energy management for mobility, heat, and mixed loads, efficient use of grid connections, integration of storage, on-site generation, and flexibility options

Operators of energy infrastructure, districts & sites

// FORECASTING, OPTIMIZATION, CONTROL.

How it works

// FORECASTING, OPTIMIZATION, CONTROL.

How it works

aimpera EMS combines forecasting, optimization, and control in one integrated system. First, generation (e.g., PV, wind) as well as controllable and non-controllable energy consumption are predicted in advance using AI-based forecasting models. Based on these forecasts, the optimization engine considers additional relevant information such as energy prices, market and grid constraints, and technical boundary conditions. Building on this, the platform calculates optimal operating strategies for controllable consumers and energy storage systems.

Predictive system optimization

The EMS forecasts generation (e.g., PV, wind) and consumption (separated into controllable and non-controllable loads). Building on this, it optimizes consumers and storage while taking into account prices as well as market and grid constraints — enabling coordinated, predictive control.

// Your partner for intelligent energy management

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.