Concepedia

Residential Load Modeling

Residential Load Modeling is a computational framework that characterizes and predicts electricity consumption patterns in household settings by integrating behavioral, temporal, and technical factors to support demand-side management within power system operations.

1.5K

Publications

96.6K

Citations

4.2K

Authors

1.2K

Institutions

Publications per year

2017–2026

742

Parents

Publications

1.5K

Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments

Amir-Hamed Mohsenian-Rad, Alberto Leon‐Garcia · IEEE Transactions on Smart Grid · 2010 · 1.8K citations

, , +17

Modeling global residential sector energy demand for heating and air conditioning in the context of climate change

Morna Isaac, Detlef P. van Vuuren · Energy Policy · 2008 · 1.2K citations

, , +16

The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes

Jack Kelly, William J. Knottenbelt · Scientific Data · 2015 · 1K citations · Full text

, , +17

Domestic electricity use: A high-resolution energy demand model

Ian Richardson, Murray Thomson, David Infield et al. · Energy and Buildings · 2010 · 961 citations · Full text

, , +13

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

Aowabin Rahman, Vivek Srikumar, Amanda D. Smith · Applied Energy · 2017 · 736 citations

, , +16

1–5 of 1.5K

Authors

4.2K

  1. JP
    João P. S. Catalào

    INESC TEC, Portugal

    13 publications · 1K citations

    13

    h-index

  2. RR
    Ram Rajagopal

    Stanford University, United States

    11 publications · 1.3K citations

    10

    h-index

  3. KB
    Karen Byskov Lindberg

    Norwegian University of Science and Technology, Norway

    8 publications · 371 citations

    8

    h-index

  4. MF
    Massimo Filippini

    Università della Svizzera italiana, Switzerland

    8 publications · 1.3K citations

    8

    h-index

  5. NL
    Ning Lü

    North Carolina State University, United States

    8 publications · 797 citations

    8

    h-index

1–5 of 4.2K

Institutions

1.2K

  1. North China Electric Power University

    Beijing, China

    18 h-index

    65 publications

    4.1K citations

  2. Lawrence Berkeley National Laboratory

    Berkeley, United States

    18 h-index

    58 publications

    3.6K citations

  3. Tsinghua University

    Beijing, China

    15 h-index

    45 publications

    1.9K citations

  4. National Laboratory of the Rockies

    Golden, United States

    15 h-index

    34 publications

    1.4K citations

  5. Universidade do Porto

    Porto, Portugal

    14 h-index

    23 publications

    1.7K citations

  6. University of Strathclyde

    Glasgow, United Kingdom

    14 h-index

    37 publications

    4.8K citations

  7. University of California, Berkeley

    Berkeley, United States

    14 h-index

    21 publications

    1.4K citations

  8. UNSW Sydney

    Sydney, Australia

    14 h-index

    31 publications

    2K citations

1–8 of 1.2K

Venues

  1. Applied Energy

    122 publications · 12.9K citations

    63

    h-index

  2. Energy and Buildings

    119 publications · 9K citations

    51

    h-index

  3. Energy

    81 publications · 5.9K citations

    45

    h-index

  4. IEEE Transactions on Smart Grid

    61 publications · 8.3K citations

    42

    h-index

  5. Energy Policy

    53 publications · 6.1K citations

    39

    h-index

1–5