Concepedia

Electric Load Forecasting

Electric Load Forecasting is a predictive modeling task within utility resource planning that estimates future electricity demand based on historical consumption patterns, weather conditions, and other relevant variables to support grid stability and energy management decisions.

3.9K

Publications

243.3K

Citations

10.1K

Authors

2.4K

Institutions

Publications per year

2017–2026

2K

Variants

Electricity Load Forecasting

Parents

Publications

3.9K

Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

Weicong Kong, Zhao Yang Dong, Youwei Jia et al. · IEEE Transactions on Smart Grid · 2017 · 2.5K citations

, , +16

ARIMA models to predict next-day electricity prices

Javier Contreras, Rosa Espínola, Francisco J. Nogales et al. · IEEE Transactions on Power Systems · 2003 · 1.5K citations

, , +16

Electric load forecasting using an artificial neural network

Dong-Chul Park, M.A. El-Sharkawi, Robert J. Marks et al. · IEEE Transactions on Power Systems · 1991 · 1.4K citations

, , +15

Energy models for demand forecasting—A review

L. Suganthi, Anand A. Samuel · Renewable and Sustainable Energy Reviews · 2011 · 1.2K citations

, , +11

Time Series Prediction Using Support Vector Machines: A Survey

Nicholas I. Sapankevych, Ravi Sankar · IEEE Computational Intelligence Magazine · 2009 · 1.1K citations

, , +16

1–5 of 3.9K

Authors

10.1K

  1. WH
    Wei‐Chiang Hong

    Asia Eastern University of Science and Technology, Taiwan

    36 publications · 4.8K citations

    30

    h-index

  2. TH
    Tao Hong

    University of North Carolina at Charlotte, United States

    22 publications · 2.1K citations

    20

    h-index

  3. DN
    Dongxiao Niu

    North China Electric Power University, China

    26 publications · 1.9K citations

    20

    h-index

  4. JW
    Jianzhou Wang

    Dongbei University of Finance and Economics, China

    23 publications · 1.4K citations

    20

    h-index

  5. JW
    Jianzhou Wang

    Lanzhou University, China

    19 publications · 1.7K citations

    18

    h-index

1–5 of 10.1K

Institutions

2.4K

  1. North China Electric Power University

    Beijing, China

    50 h-index

    447 publications

    25.3K citations

  2. Dongbei University of Finance and Economics

    Dalian, China

    30 h-index

    100 publications

    7.1K citations

  3. Lanzhou University

    Lanzhou, China

    27 h-index

    111 publications

    8.3K citations

  4. University of Tehran

    Tehran, Iran

    25 h-index

    100 publications

    7.2K citations

  5. Tsinghua University

    Beijing, China

    22 h-index

    57 publications

    6.3K citations

  6. Huazhong University of Science and Technology

    Wuhan, China

    22 h-index

    75 publications

    7.3K citations

  7. Zhejiang University

    Hangzhou, China

    21 h-index

    82 publications

    4.6K citations

  8. National University of Singapore

    Singapore, Singapore

    21 h-index

    56 publications

    3.7K citations

1–8 of 2.4K

Venues

  1. Energy

    241 publications · 26.2K citations

    93

    h-index

  2. IEEE Transactions on Power Systems

    153 publications · 25.8K citations

    91

    h-index

  3. Applied Energy

    165 publications · 16.6K citations

    78

    h-index

  4. Energies

    220 publications · 13.4K citations

    61

    h-index

  5. 48

    h-index

1–5