Concepedia

Demand Sensing

Demand Sensing is a demand forecasting methodology that distinguishes itself by leveraging real-time, granular data from near-term supply chain signals to detect and interpret emerging demand patterns more rapidly than traditional forecast models.

164

Publications

11.2K

Citations

535

Authors

255

Institutions

Publications per year

2017–2026

92

Parents

Children

Publications

164

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

Predicting Taxi–Passenger Demand Using Streaming Data

Luís Moreira-Matias, João Gama, Michel Ferreira et al. · IEEE Transactions on Intelligent Transportation Systems · 2013 · 726 citations · Full text

, , +16

The accuracy of intermittent demand estimates

Aris Syntetos, John E. Boylan · International Journal of Forecasting · 2004 · 470 citations · Full text

, , +8

AMPds: A public dataset for load disaggregation and eco-feedback research

Stephen Makonin, Fred Popowich, Lyn Bartram et al. · 2013 · 343 citations

, , +16

Identifying trends in the use of domestic appliances from household electricity consumption measurements

Steven K. Firth, Kevin J. Lomas, Andrew Wright et al. · Energy and Buildings · 2007 · 329 citations · Full text

, , +13

1–5 of 164

Authors

535

  1. TH
    Tian He

    University of Minnesota, United States

    4 publications · 141 citations

    4

    h-index

  2. DZ
    Desheng Zhang

    Rutgers, The State University of New Jersey, United States

    4 publications · 141 citations

    4

    h-index

  3. SL
    Shan Lin

    Stony Brook University, United States

    4 publications · 141 citations

    4

    h-index

  4. JA
    John A. Stankovic

    University of Virginia, United States

    4 publications · 141 citations

    4

    h-index

  5. JE
    John E. Boylan

    Buckinghamshire New University, United Kingdom

    4 publications · 617 citations

    4

    h-index

1–5 of 535

Institutions

255

  1. Tsinghua University

    Beijing, China

    7 h-index

    14 publications

    633 citations

  2. Monash University

    Melbourne, Australia

    4 h-index

    7 publications

    522 citations

  3. National University of Singapore

    Singapore, Singapore

    4 h-index

    9 publications

    519 citations

  4. University of Virginia

    Charlottesville, United States

    4 h-index

    8 publications

    262 citations

  5. University of Minnesota

    Minneapolis, United States

    3 h-index

    5 publications

    166 citations

  6. University of Alberta

    Edmonton, Canada

    3 h-index

    6 publications

    548 citations

  7. University of Exeter

    Exeter, United Kingdom

    3 h-index

    9 publications

    418 citations

  8. Cornell University

    Ithaca, United States

    3 h-index

    4 publications

    278 citations

1–8 of 255

Venues

  1. 6

    h-index

  2. European Journal of Operational Research

    6 publications · 533 citations

    6

    h-index

  3. Applied Energy

    5 publications · 385 citations

    5

    h-index

  4. 4

    h-index

  5. Energy and Buildings

    3 publications · 385 citations

    3

    h-index

1–5