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ZHANG HONGCAI [1]
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A Bottom-up Method for Probabilistic Short-Term Load Forecasting Based on Medium Voltage Load Patterns
Journal article
Jiang, Zhengbang, Wu, Hao, Zhu, Bingquan, Gu, Wei, Zhu, Yingwei, Song, Yonghua, Ju, Ping. A Bottom-up Method for Probabilistic Short-Term Load Forecasting Based on Medium Voltage Load Patterns[J]. IEEE Access, 2021, 9, 76551-76563.
Authors:
Jiang, Zhengbang
;
Wu, Hao
;
Zhu, Bingquan
;
Gu, Wei
;
Zhu, Yingwei
; et al.
Favorite
|
TC[WOS]:
5
TC[Scopus]:
7
IF:
3.4
/
3.7
|
Submit date:2022/05/13
Bottom-up
Load Pattern
Medium Voltage
Probabilistic Load Forecasting
Short-term Load Forecasting
Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts
Journal article
Ahmad, Tanveer, Zhang, Hongcai. Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts[J]. Energy, 2020, 209, 118477.
Authors:
Ahmad, Tanveer
;
Zhang, Hongcai
Favorite
|
TC[WOS]:
27
TC[Scopus]:
33
IF:
9.0
/
8.2
|
Submit date:2021/09/09
Deep Supervised Learning Models
Multiple Feature Selection
Short & Medium-term Forecasting
Time Series
Utilities And Building Load
Very short term load forecasting for Macau power system
Conference paper
Fok C.Y., Vai M.I.. Very short term load forecasting for Macau power system[C], 2012, 538-546.
Authors:
Fok C.Y.
;
Vai M.I.
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|
TC[Scopus]:
3
|
Submit date:2019/02/14
hybrid model
very short term load forecasting