Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble

One of the primal challenges faced by utility companies is ensuring efficient supply with minimal greenhouse gas emissions. The advent of smart meters and smart grids provide an unprecedented advantage in realizing an optimised supply of thermal energies through proactive techniques such as load for...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Ramachandran, Adithya, Chatterjee, Satyaki, Bayer, Siming, Maier, Andreas, Flensmark, Thorkil
Format:	Artikel
Sprache:	eng
Schlagworte:	Data acquisition Economic forecasting Greenhouse gases Neural networks Root-mean-square errors Smart grid
Online-Zugang:	Volltext
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