Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach

The food industry faces significant challenges in managing operational costs due to its high energy intensity and rising energy prices. Industrial food-processing facilities, with substantial thermal capacities and large demands for cooling and heating, offer promising opportunities for demand respo...

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Bibliographic Details

Main Authors:	Philipp Wohlgenannt, Sebastian Hegenbart, Elias Eder, Mohan Kolhe, Peter Kepplinger
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2024-12-01
Series:	Energies
Subjects:	industrial energy-management systems demand response reinforcement learning machine learning double deep Q-learning
Online Access:	https://www.mdpi.com/1996-1073/17/24/6430
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