Home energy management under realistic and uncertain conditions: A comparison of heuristic, deterministic, and stochastic control methods

Michael Blonsky, Killian McKenna, Jeff Maguire and Tyrone Vincent

Applied Energy, 2022, vol. 325, issue C, No S0306261922010509

Abstract: Home energy management systems (HEMS) have been shown to reduce energy bills and to provide grid services including peak demand reduction and demand flexibility. However, uncertainty in residential energy systems is a significant issue and can reduce the benefits of a HEMS to the homeowner or grid operator. Sources of uncertainty include weather forecasts, predictions of energy-related occupant activities (e.g., hot water draws), and parameter estimation for the building envelope and energy-consuming equipment.

Keywords: Home energy management systems; Stochastic controls; Model predictive control; Residential energy modeling; Distributed energy resources (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.apenergy.2022.119770

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