Concepedia

Hour-ahead Load Forecasting

Hour-Ahead Load Forecasting is a short-term load forecasting method that predicts electrical load demand for a power system exactly one hour into the future, distinguished from other temporal forecasting classes by its specific hourly lead time resolution.

283

Publications

20.9K

Citations

799

Authors

307

Institutions

Publications per year

2017–2026

102

Parents

Publications

283

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

Electric load forecasting methods: Tools for decision making

Heiko Hahn, Silja Meyer-Nieberg, Stefan Pickl · European Journal of Operational Research · 2009 · 547 citations

, , +14

Electrical load forecasting models: A critical systematic review

Corentin Kuster, Yacine Rezgui, Monjur Mourshed · Sustainable Cities and Society · 2017 · 522 citations

, , +13

Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

Shu Fan, Rob J. Hyndman · IEEE Transactions on Power Systems · 2011 · 493 citations

, , +14

Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid

Ghulam Hafeez, Khurram Saleem Alimgeer, Imran Khan · Applied Energy · 2020 · 370 citations

, , +17

1–5 of 283

Authors

799

  1. TH
    Tao Hong

    University of North Carolina at Charlotte, United States

    7 publications · 924 citations

    7

    h-index

  2. TS
    Tomonobu Senjyu

    University of the Ryukyus, Japan

    6 publications · 1K citations

    6

    h-index

  3. AL
    A.C. Liew

    National University of Singapore, Singapore

    6 publications · 308 citations

    6

    h-index

  4. PD
    P.K. Dash

    Siksha O Anusandhan University, India

    5 publications · 158 citations

    5

    h-index

  5. SR
    Saifur Rahman

    Virginia Tech, United States

    5 publications · 310 citations

    5

    h-index

1–5 of 799

Institutions

307

  1. Virginia Tech

    Blacksburg, United States

    7 h-index

    13 publications

    635 citations

  2. Lanzhou University

    Lanzhou, China

    6 h-index

    18 publications

    1.6K citations

  3. North China Electric Power University

    Beijing, China

    6 h-index

    21 publications

    1.2K citations

  4. University of the Ryukyus

    Okinawa, Japan

    6 h-index

    18 publications

    3.2K citations

  5. National University of Singapore

    Singapore, Singapore

    6 h-index

    11 publications

    686 citations

  6. National Institute of Technology Rourkela

    Rourkela, India

    6 h-index

    9 publications

    287 citations

  7. Meidensha (Japan)

    Tokyo, Japan

    6 h-index

    9 publications

    1.9K citations

  8. University of North Carolina at Charlotte

    Charlotte, United States

    5 h-index

    6 publications

    609 citations

1–8 of 307

Venues

  1. IEEE Transactions on Power Systems

    29 publications · 5.7K citations

    27

    h-index

  2. Applied Energy

    10 publications · 1.1K citations

    10

    h-index

  3. Energies

    9 publications · 473 citations

    9

    h-index

  4. Energy

    9 publications · 926 citations

    9

    h-index

  5. Electric Power Systems Research

    7 publications · 320 citations

    7

    h-index

1–5