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A global forecasting method of heterogeneous household short-term load based on pre-trained autoencoder and deep-LSTM model.

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Title: A global forecasting method of heterogeneous household short-term load based on pre-trained autoencoder and deep-LSTM model.
Authors: Zhao, Wenhui1, Li, Tong2,3,4,5, Xu, Danyang2, Wang, Zhaohua2,3,4,5, wangzhaohua@bit.edu.cn
Source: Annals of Operations Research; Aug2024, Vol. 339 Issue 1/2, p227-259, 33p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178776595
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A global forecasting method of heterogeneous household short-term load based on pre-trained autoencoder and deep-LSTM model.
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  Data: <searchLink fieldCode="AU" term="%22Zhao%2C+Wenhui%22">Zhao, Wenhui</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Tong%22">Li, Tong</searchLink><relatesTo>2,3,4,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Xu%2C+Danyang%22">Xu, Danyang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Zhaohua%22">Wang, Zhaohua</searchLink><relatesTo>2,3,4,5</relatesTo>, <i>wangzhaohua@bit.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Aug2024, Vol. 339 Issue 1/2, p227-259, 33p
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10479-022-05070-y
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      – Code: eng
        Text: English
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        PageCount: 33
        StartPage: 227
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      – TitleFull: A global forecasting method of heterogeneous household short-term load based on pre-trained autoencoder and deep-LSTM model.
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            NameFull: Zhao, Wenhui
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            NameFull: Li, Tong
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            NameFull: Xu, Danyang
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            – D: 01
              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
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              Value: 339
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              Value: 1/2
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            – TitleFull: Annals of Operations Research
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