A Fast Technique for Smart Home Management: ADP With Temporal Difference Learning

This paper presents a computationally efficient smart home energy management system (SHEMS) using an approximate dynamic programming (ADP) approach with temporal difference learning for scheduling distributed energy resources. This approach improves the performance of an SHEMS by incorporating stoch...

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Bibliographic Details

Published in:	IEEE transactions on smart grid Vol. 9; no. 4; pp. 3291 - 3303
Main Authors:	Keerthisinghe, Chanaka, Verbic, Gregor, Chapman, Archie C.
Format:	Journal Article
Language:	English
Published:	IEEE 01.07.2018
Subjects:	approximate dynamic programming Australia Batteries Demand response distributed energy resources Dynamic programming Energy management Optimization smart home energy management Smart homes stochastic mixed-integer linear programming Stochastic processes temporal difference learning value function approximation
ISSN:	1949-3053, 1949-3061
Online Access:	Get full text
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