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

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  • Blonsky, Michael
  • McKenna, Killian
  • Maguire, Jeff
  • Vincent, Tyrone

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.

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  • Blonsky, Michael & McKenna, Killian & Maguire, Jeff & Vincent, Tyrone, 2022. "Home energy management under realistic and uncertain conditions: A comparison of heuristic, deterministic, and stochastic control methods," Applied Energy, Elsevier, vol. 325(C).
    • Handle: RePEc:eee:appene:v:325:y:2022:i:c:s0306261922010509
    DOI: 10.1016/j.apenergy.2022.119770
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    References listed on IDEAS

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    Cited by:

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    2. Luna, José Diogo Forte de Oliveira & Naspolini, Amir & Reis, Guilherme Nascimento Gouvêa dos & Mendes, Paulo Renato da Costa & Normey-Rico, Julio Elias, 2024. "A novel joint energy and demand management system for smart houses based on model predictive control, hybrid storage system and quality of experience concepts," Applied Energy, Elsevier, vol. 369(C).

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