Journal
APPLIED THERMAL ENGINEERING
Volume 108, Issue -, Pages 697-708Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2016.07.094
Keywords
Energy demand prediction; Domestic hot water; Residential; Energy efficiency; Combined heat and power; Energy management
Funding
- Japan Society for the Promotion of Science (JSPS) (KAKENHI) [26420892]
- Grants-in-Aid for Scientific Research [26420892] Funding Source: KAKEN
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An energy management system (EMS) that controls energy equipment in residential dwellings contributes to energy conservation and cost reduction. A hot energy demand prediction method is necessary for the EMS to provide the best possible performance. A prediction method using a bottom-up approach based on end-use analysis with detailed energy consumption measurement was developed. One of the advantages of the proposed prediction method is that it provides good accuracy without needing large computational resources. Since the method is based on end-use analysis, the EMS can revise the prediction and controls when necessary. The performance of the developed prediction method was evaluated by comparing it with results produced by support vector regression. An operational simulation was performed to evaluate performance in a more practical environment. The simulation indicated that the proposed method showed the best performance. (C) 2016 Elsevier Ltd. All rights reserved.
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