Demand Response Impact Forecasting

Demand Response Impact Forecasting is a methodological framework within energy demand forecasting that specifically quantifies the expected reduction or shift in electricity consumption resulting from demand response programs by predicting consumer behavioral and operational responses to price signals or grid conditions.

5

Publications

437

Citations

14

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

14

  1. HC
    Hans Christian Gils

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    1 publications · 159 citations

    1

    h-index

  2. WT
    Winston T. Lin

    University at Buffalo, State University of New York, United States

    1 publications · 42 citations

    1

    h-index

  3. MS
    Meng Song

    KTH Royal Institute of Technology, Sweden

    1 publications · 37 citations

    1

    h-index

  4. EK
    Edward Kahn

    Lawrence Berkeley National Laboratory, United States

    1 publications · 60 citations

    1

    h-index

  5. NC
    Nallan C. Suresh

    University at Buffalo, State University of New York, United States

    1 publications · 42 citations

    1

    h-index

1–5 of 14

Venues

  1. Applied Energy

    2 publications · 298 citations

    2

    h-index

  2. The Electricity Journal

    1 publications · 60 citations

    1

    h-index

  3. Electric Power Systems Research

    1 publications · 37 citations

    1

    h-index

  4. International Journal of Production Economics

    1 publications · 42 citations

    1

    h-index

1–4