Concepedia

Individual Load Forecasting

Individual Load Forecasting is a specialized form of load forecasting that focuses on predicting the electricity consumption of a single, specific end-user or discrete load entity, distinguished from aggregated or system-level forecasting by its granularity and emphasis on individual consumption patterns.

33

Publications

2.4K

Citations

132

Authors

57

Institutions

Publications per year

2017–2026

21

Parents

Publications

33

Probabilistic individual load forecasting using pinball loss guided LSTM

Yi Wang, Dahua Gan, Mingyang Sun et al. · Applied Energy · 2018 · 442 citations

, , +10

Deep Neural Network Based Demand Side Short Term Load Forecasting

Seunghyoung Ryu, Jae-Koo Noh, Hongseok Kim · Energies · 2016 · 407 citations · Full text

, , +16

Household Electricity Demand Forecast Based on Context Information and User Daily Schedule Analysis From Meter Data

Yu‐Hsiang Hsiao · IEEE Transactions on Industrial Informatics · 2014 · 150 citations

, , +16

A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids

Chun-Nam Yu, Piotr Mirowski, Tin Kam Ho · IEEE Transactions on Smart Grid · 2016 · 147 citations

, , +16

A Kalman filter-based bottom-up approach for household short-term load forecast

Zhuang Zheng, Hainan Chen, Xiaowei Luo · Applied Energy · 2019 · 129 citations

, , +13

1–5 of 33

Authors

132

  1. SR
    Seunghyoung Ryu

    Sogang University, South Korea

    2 publications · 473 citations

    2

    h-index

  2. HL
    Haifeng Li

    Global Energy Interconnection Research Institute North America, United States

    2 publications · 54 citations

    2

    h-index

  3. JN
    Jae-Koo Noh

    Korea Electric Power Corporation (South Korea), South Korea

    2 publications · 473 citations

    2

    h-index

  4. YW
    Yi Wang

    Tsinghua University, China

    2 publications · 478 citations

    2

    h-index

  5. YP
    Yayu Peng

    University of Nebraska–Lincoln, United States

    2 publications · 54 citations

    2

    h-index

1–5 of 132

Institutions

57

  1. City University of Hong Kong, Shenzhen Research Institute

    Shenzhen, China

    2 h-index

    4 publications

    423 citations

  2. University of Hong Kong

    Pok Fu Lam, Hong Kong

    2 h-index

    3 publications

    148 citations

  3. Global Energy Interconnection Research Institute North America

    San Jose, United States

    2 h-index

    8 publications

    216 citations

  4. Sogang University

    Seoul, South Korea

    2 h-index

    4 publications

    946 citations

  5. Korea Electric Power Corporation (South Korea)

    Naju, South Korea

    2 h-index

    2 publications

    473 citations

  6. National Grid (United States)

    New York, United States

    2 h-index

    2 publications

    54 citations

  7. Carnegie Mellon University

    Pittsburgh, United States

    1 h-index

    1 publications

    32 citations

  8. Auckland University of Technology

    Auckland, New Zealand

    1 h-index

    3 publications

    159 citations

1–8 of 57

Venues

  1. IEEE Transactions on Smart Grid

    3 publications · 202 citations

    3

    h-index

  2. Applied Energy

    3 publications · 611 citations

    3

    h-index

  3. CSEE Journal of Power and Energy Systems

    2 publications · 75 citations

    2

    h-index

  4. IEEE Transactions on Power Systems

    2 publications · 144 citations

    2

    h-index

  5. Energy Informatics

    1 publications · 63 citations

    1

    h-index

1–5