110 citations · 215 across the 13 of their papers we have counts for
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eess.SP2024★ 19 cited
SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe
Joris Depoortere, Johan Driesen, Johan Suykens +1
Deep learning models have gained increasing prominence in recent years in the field of solar pho-tovoltaic (PV) forecasting. One drawback of these models is that they require a lot…
cs.LG2024★ 27 cited
Creating synthetic energy meter data using conditional diffusion and building metadata
Chun Fu, Hussain Kazmi, Matias Quintana +1
Advances in machine learning and increased computational power have driven progress in energy-related research. However, limited access to private energy data from buildings hinder…