Energy management for energy suppliers, grid operators and energy service providers

Challenges

• Individual energy portfolios require individual solutions (energy management required to serve different business models)
• Excellent quality of EMS functions are the basis of sustainable data-based services and business models

Our solution and research work

• Individual energy portfolios require individual solutions (energy management required to serve different business models)
• Excellent quality of EMS functions are the basis of sustainable data-based services and business model
  • Forecasting: automatic data analysis, knowledge-based models, probabilistic forecasting, current AI approaches and self-learning methods (e.g., LSTM, deep learning, reinforcement learning, federated learning, etc.), assistance functions
  • Optimization: linear and mixed-integer linear optimization, stochastic and robust optimization, agent-based optimization, fundamental models, automated model generation 
• Use of AI for automation and scaling during commissioning/initialization and operations
• Resilience in operations management