Concepedia

Special Event Load Forecasting

Special Event Load Forecasting is a specialized methodology within load forecasting that predicts electricity demand during atypical events by incorporating unique temporal, social, and behavioral factors that distinguish such occasions from regular load patterns.

6

Publications

518

Citations

17

Authors

12

Institutions

Publications per year

2017–2026

2

Parents

Publications

6

An implementation of a neural network based load forecasting model for the EMS

A. Papalexopoulos, Shangyou Hao, Tie-Mao Peng · IEEE Transactions on Power Systems · 1994 · 255 citations

, , +16

A similarity based hybrid GWO-SVM method of power system load forecasting for regional special event days in anomalous load situations in Assam, India

Mayur Barman, Nalin Behari Dev Choudhury · Sustainable Cities and Society · 2020 · 77 citations

, , +14

Short-term peak demand forecasting in fast developing utility with inherit dynamic load characteristics. I. Application of classical time-series methods. II. Improved modelling of system dynamic load characteristics

E.H. Barakat, M.A. Qayyum, M.N.G. Hamed et al. · IEEE Transactions on Power Systems · 1990 · 69 citations

, , +14

Real time transit demand prediction capturing station interactions and impact of special events

Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao · Transportation Research Part C Emerging Technologies · 2018 · 66 citations

, , +16

Relative performance of methods for forecasting special events

Akrivi Litsa, Fotios Petropoulos, Vasileios Bougioukos · Journal of Business Research · 2015 · 39 citations · Full text

, , +12

1–5 of 6

Authors

17

  1. EB
    E.H. Barakat

    Société Tunisienne de l'Electricité et du Gaz (Tunisia), Tunisia

    1 publications · 69 citations

    1

    h-index

  2. MH
    M.N.G. Hamed

    University of Biskra, Algeria

    1 publications · 69 citations

    1

    h-index

  3. PN
    Peyman Noursalehi

    Massachusetts Institute of Technology, United States

    1 publications · 66 citations

    1

    h-index

  4. AP
    A. Papalexopoulos

    PG&E Corporation (United States)

    1 publications · 255 citations

    1

    h-index

  5. AL
    Akrivi Litsa

    University of Sussex, United Kingdom

    1 publications · 39 citations

    1

    h-index

1–5 of 17

Institutions

12

  1. University of Sussex

    Brighton, United Kingdom

    1 h-index

    1 publications

    39 citations

  2. PG&E Corporation (United States)

    San Francisco, United States

    1 h-index

    2 publications

    510 citations

  3. Cardiff University

    Cardiff, United Kingdom

    1 h-index

    1 publications

    39 citations

  4. King Abdulaziz University

    Jeddah, Saudi Arabia

    1 h-index

    1 publications

    12 citations

  5. Northeastern University

    Boston, United States

    1 h-index

    2 publications

    132 citations

  6. Brunel University of London

    London, United Kingdom

    1 h-index

    1 publications

    12 citations

  7. National Institute Of Technology Silchar

    Silchar, India

    1 h-index

    2 publications

    154 citations

  8. Bangor University

    Bangor, United Kingdom

    1 h-index

    1 publications

    39 citations

1–8 of 12

Venues

  1. IEEE Transactions on Power Systems

    2 publications · 324 citations

    2

    h-index

  2. Journal of Business Research

    JBR · 1 publications · 39 citations

    1

    h-index

  3. 1

    h-index

  4. Sustainable Cities and Society

    1 publications · 77 citations

    1

    h-index

1–4