D. Geysen

Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods

Davy Geysen, Gowri Suryanarayana, Jesus Lago, 2018, Energy.

Operational thermal load forecasting in district heating networks using machine learning and expert advice pdf

Davy Geysen, Christian Johansson, Dirk Vanhoudt, 2017, ArXiv.

Using reinforcement learning for maximizing residential self-consumption – Results from a field test

Davy Geysen, Koen Vanthournout, Fred Spiessens, 2020 .

An actively controlled residential heat pump: Potential on peak shaving and maximization of self-consumption of renewable energy

J. Van Bael, Bert Claessens, D. Vanhoudt, 2014 .

Reinforcement learning for control of flexibility providers in a residential microgrid

Geert Deconinck, Davy Geysen, Fred Spiessens, 2019, IET Smart Grid.

An agent-based flexibility trading architecture with scalable and robust messaging

Davy Geysen, Jia Lei Du, Ana Soares, 2017, 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm).

Operational Demand Forecasting In District Heating Systems Using Ensembles Of Online Machine Learning Algorithms

Davy Geysen, Niklas Lavesson, Dirk Vanhoudt, 2017 .

Distributed Schemes, Innovative Solutions for Smart Grids: P2P, Multi-Agent Systems & Blockchain

Dimitrios Tzovaras, Juan Manuel Espeche, Meritxell Vinyals, 2019, Proceedings.

Optimization of revenues from a distributed generation portfolio: a case study

Davy Geysen, K. Kessels, M. Hommelberg, 2011 .