Combinatorial Component Day-Ahead Load Forecasting through Unanchored Time Series Chain Evaluation
Dimitrios Kontogiannis,
Dimitrios Bargiotas,
Athanasios Fevgas
et al.
Abstract:Accurate and interpretable short-term load forecasting tasks are essential to the optimal operation of liberalized electricity markets since they contribute to the efficient development of energy trading and demand response strategies as well as the successful integration of renewable energy sources. Consequently, performant day-ahead consumption forecasting models need to capture feature nonlinearities, analyze system dynamics and conserve evolving temporal patterns in order to minimize the impact of noise an… Show more
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