Smart Air Condition Load Forecasting based on Thermal Dynamic Model and Finite Memory Estimation for Peak-energy Distribution
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Hyun Duck | - |
dc.contributor.author | Lee, Soon Woo | - |
dc.contributor.author | Pae, Dong Sung | - |
dc.contributor.author | You, Sung Hyun | - |
dc.contributor.author | Lim, Myo Taeg | - |
dc.date.accessioned | 2021-09-02T14:46:44Z | - |
dc.date.available | 2021-09-02T14:46:44Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-03 | - |
dc.identifier.issn | 1975-0102 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/77264 | - |
dc.description.abstract | In this paper, we propose a new load forecasting method for smart air conditioning (A/C) based on the modified thermodynamics of indoor temperature and the unbiased finite memory estimator (UFME). Based on modified first-order thermodynamics, the dynamic behavior of indoor temperature can be described by the time-domain state-space model, and an accurate estimate of indoor temperature can be achieved by the proposed UFME. In addition, a reliable A/C load forecast can be obtained using the proposed method. Our study involves the experimental validation of the proposed A/C load forecasting method and communication construction between DR server and HEMS in a test bed. Through experimental data sets, the effectiveness of the proposed estimation method is validated. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | KOREAN INST ELECTR ENG | - |
dc.subject | STATE-SPACE MODELS | - |
dc.subject | MANAGEMENT-SYSTEM | - |
dc.subject | DEMAND RESPONSE | - |
dc.subject | ZIGBEE | - |
dc.subject | SERVICES | - |
dc.title | Smart Air Condition Load Forecasting based on Thermal Dynamic Model and Finite Memory Estimation for Peak-energy Distribution | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lim, Myo Taeg | - |
dc.identifier.doi | 10.5370/JEET.2018.13.2.559 | - |
dc.identifier.scopusid | 2-s2.0-85041810577 | - |
dc.identifier.wosid | 000428478300004 | - |
dc.identifier.bibliographicCitation | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.13, no.2, pp.559 - 567 | - |
dc.relation.isPartOf | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | - |
dc.citation.title | JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | - |
dc.citation.volume | 13 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 559 | - |
dc.citation.endPage | 567 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002321042 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | STATE-SPACE MODELS | - |
dc.subject.keywordPlus | MANAGEMENT-SYSTEM | - |
dc.subject.keywordPlus | DEMAND RESPONSE | - |
dc.subject.keywordPlus | ZIGBEE | - |
dc.subject.keywordPlus | SERVICES | - |
dc.subject.keywordAuthor | Home energy management system(HEMS) | - |
dc.subject.keywordAuthor | Air condition(A/C) | - |
dc.subject.keywordAuthor | Demand response(DR) | - |
dc.subject.keywordAuthor | Unbiased finite memory estimation (UFME) | - |
dc.subject.keywordAuthor | Thermodynamic model | - |
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