Jump to content

Energy Markets

Methods and expertise

  • Short and long-term scenario development for energy markets (e.g. price scenarios)
  • Data analytics and statistical learning approaches for forecasting applications
  • Optimization tools and algorithms in energy sector
  • Techno-economic cost-benefit analysis in energy domain (macro- & micro-economic CBA)
  • Investment decision support for utilities, prosumers, investors and system operators
  • Policy support and recommendations for decision makers
  • Integration of prosumer flexibility in market and grid
  • Qualitative and quantitative analysis of electricity market design (energy-only versus capacity market, balancing market)
  • Capacity expansion planning analysis considering risk assessment

Method and tool (further-) development

  • Energy system modelling
  • Business model development
  • Agent-based modelling of electricity markets (agents e.g. aggregators, regulators)
  • Assessment of energy prices development, capacity expansion and investment decisions
  • Building up a comprehensive database (supply, demand and flexibility resources)


  • Energy system and market models are important decision-support tools for successful transition
  • Such models and methods allow future development analysis and pathway descriptions through scenarios
  • New business models are one of the main drivers for different actors to invest in new technologies and to apply new concepts


  • Short, medium and long term portfolio optimization in terms of generation and flexibility options
  • Energy price forecasting
  • Cost-benefit analysis, decision support, strategy development
  • Consulting services to the utilites, network operators, regulators and policy makers