Application of Probabilistic Forecasting to Load Management (T04#)

• Subject Area: Statistics and Econometrics
• Term: from 2017 to 2019
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 5486220

The increasing amount of renewable energy production in the German electricity marketposes new challenges to market participants. In this transfer project we aim at generatingprobabilistic forecasts of electricity load of industrial consumers and assess their benefit fordemand-side-management. This can help companies to cope with the new marketenvironment and to improve system stability. Together with ÖKOTEC EnergiemanagementGmbH we want to adopt the methods developed within the CRC 649 “Economic Risk” to realconsumer data. This requires flexible modeling techniques. Potential time-varying behaviorwill be address using localizing methods. Results will be evaluated and visualized and theirapplicability to practice will be tested.

• DFG Programme: Collaborative Research Centres (Transfer Project)
• Subproject of: SFB 649: Economic Risk
• Applicant Institution: Humboldt-Universität zu Berlin
• Project Head: Professorin Dr. Brenda López Cabrera, since 10/2017