معرفی
Peder Bacher is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he conducts research in energy systems modeling and forecasting. His work spans solar power, building heat dynamics, industrial refrigeration, and time series analysis, contributing to sustainable energy solutions and UN Sustainable Development Goals in energy and sustainable cities.
Research Interests: Peder's research focuses on the modeling and forecasting of energy loads in buildings and industrial systems using advanced statistical and machine learning techniques. Key areas include grey-box modeling, dynamical systems, and predictive control for energy efficiency. His work supports the development of flexible energy systems and positive energy districts.
The recent publications highlight a strong trend in data-driven and parametric modeling for energy forecasting, particularly in buildings and refrigeration systems. His work integrates time series analysis with physical models, emphasizing real-world applicability in district heating, supermarkets, and residential energy management.
Scientific Awards:
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Advising and Grants: Peder Bacher is the main supervisor for multiple PhD projects, including those on flexible energy systems, sector coupling in supermarkets, and non-parametric estimation in energy systems. He is also a project participant in international collaborations such as IEA EBC Annex 83 on Positive Energy Districts, indicating active grant involvement and leadership in energy research initiatives.
Labs and Teams: He is part of the Dynamical Systems research group at DTU Compute, contributing to interdisciplinary projects involving energy modeling, control systems, and sustainability. His collaborations span across DTU and international institutions, focusing on smart energy integration and building performance optimization.
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