Short-Term and Midterm Load Forecasting Using a Bilevel Optimization Model

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2009.2016609 ◽

2009 ◽

Vol 24 (2) ◽

pp. 1080-1090 ◽

Author(s):

Huina Mao ◽

Xiao-Jun Zeng ◽

Gang Leng ◽

Yong-Jie Zhai ◽

J.A. Keane

Keyword(s):

Optimization Model ◽

Load Forecasting ◽

Bilevel Optimization ◽

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A Data-Driven Hybrid Optimization Model for Short-Term Residential Load Forecasting

2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing ◽

10.1109/cit/iucc/dasc/picom.2015.41 ◽

2015 ◽

Author(s):

Xiu Cao ◽

Shuanshuan Dong ◽

Zhenhao Wu ◽

Yinan Jing

Keyword(s):

Optimization Model ◽

Load Forecasting ◽

Hybrid Optimization ◽

Data Driven ◽

Hybrid Optimization Model

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Short-Term Load Forecasting Based on Variational Modal Decomposition and optimization Model

2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) ◽

10.1109/coase.2019.8843172 ◽

2019 ◽

Author(s):

Zhengcai Cao ◽

Lu Liu ◽

Biao Hu ◽

Hongyu Xie

Keyword(s):

Optimization Model ◽

Load Forecasting ◽

Modal Decomposition ◽

Short Term Load Forecasting

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Review for "Short‐term load forecasting utilizing wavelet transform and time series considering accuracy feedback"

10.1002/2050-7038.12455/v1/review1 ◽

2019 ◽

Keyword(s):

Time Series ◽

Wavelet Transform ◽

Load Forecasting ◽

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Decision letter for "Short‐term load forecasting utilizing wavelet transform and time series considering accuracy feedback"

10.1002/2050-7038.12455/v1/decision1 ◽

2019 ◽

Keyword(s):

Time Series ◽

Wavelet Transform ◽

Load Forecasting ◽

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Review for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v1/review2 ◽

2020 ◽

Author(s):

Fengzhang Luo

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Integrated Energy System ◽

Electric Load Forecasting

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Decision letter for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v1/decision1 ◽

2020 ◽

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Integrated Energy System ◽

Electric Load Forecasting

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Decision letter for "NARX: Contribution ‐ factor‐based short‐term multinodal load forecasting for smart grid"

10.1002/2050-7038.12726/v1/decision1 ◽

2020 ◽

Keyword(s):

Load Forecasting ◽

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Review for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v2/review3 ◽

2020 ◽

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Integrated Energy System ◽

Electric Load Forecasting

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Review for "An attention‐based CNN‐LSTM‐BiLSTM model for short‐term electric load forecasting in integrated energy system"

10.1002/2050-7038.12637/v2/review1 ◽

2020 ◽

Author(s):

Linquan Bai

Keyword(s):

Load Forecasting ◽

Energy System ◽

Electric Load ◽

Integrated Energy System ◽

Electric Load Forecasting

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The method of short-term load forecasting based on the RBF neural network

18th International Conference and Exhibition on Electricity Distribution (CIRED 2005) ◽

10.1049/cp:20051341 ◽

2005 ◽

Author(s):

Yan Lu ◽

Xin Lin ◽

Weifu Qi

Keyword(s):

Neural Network ◽

Rbf Neural Network ◽

Load Forecasting ◽

Short Term Load Forecasting

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