High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks

This paper covers predicting high-resolution electricity peak demand features given lower-resolution data. This is a relevant setup as it answers whether limited higher-resolution monitoring helps to estimate future high-resolution peak loads when the high-resolution data is no longer available. Tha...

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Veröffentlicht in:	arXiv.org 2022-11
Hauptverfasser:	Berrisch, Jonathan, Narajewski, Michał, Ziel, Florian
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Competition Computer Science - Learning Computer Science - Systems and Control Electric power demand Electric power distribution Electrical loads Estimation High resolution Neural networks Peak load Prediction models Statistics - Applications Statistics - Machine Learning Substations
Online-Zugang:	Volltext
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