Concepedia

Transformer-based Demand Forecasting

Transformer-Based Demand Forecasting is a demand forecasting method that leverages transformer architectures—characterized by self-attention mechanisms and sequence-to-sequence modeling—to capture complex temporal dependencies and external signals in time series data more effectively than traditional statistical or recurrent models.

18

Publications

853

Citations

71

Authors

31

Institutions

Publications per year

2017–2026

15

Parents

Publications

18

Short-term load forecasting based on CEEMDAN and Transformer

Ran Peng, Kun Dong, Xu Liu et al. · Electric Power Systems Research · 2022 · 144 citations

, , +11

Prediction of Electric Vehicles Charging Demand: A Transformer-Based Deep Learning Approach

Sahar Koohfar, Wubeshet Woldemariam, Amit Kumar · Sustainability · 2023 · 125 citations · Full text

, , +17

CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability

Zhirui Tian, Weican Liu, Wenqian Jiang et al. · Energy · 2024 · 108 citations

, , +12

Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods

Andrei Marinescu, Colin Harris, Ivana Dusparić et al. · 2013 · 80 citations · Full text

, , +16

Approaching sales forecasting using recurrent neural networks and transformers

Iván Vallés-Ṕerez, Emilio Soria‐Olivas, Marcelino Martínez‐Sober et al. · Expert Systems with Applications · 2022 · 67 citations · Full text

, , +16

1–5 of 18

Authors

71

  1. MH
    Matthias Hertel

    Karlsruhe Institute of Technology, Germany

    2 publications · 46 citations

    2

    h-index

  2. VH
    Veit Hagenmeyer

    Karlsruhe Institute of Technology, Germany

    2 publications · 46 citations

    2

    h-index

  3. JW
    Jing Wang

    Anhui University of Technology, China

    2 publications · 154 citations

    2

    h-index

  4. RP
    Ran Peng

    Peking University, China

    2 publications · 154 citations

    2

    h-index

  5. RM
    Ralf Mikut

    Karlsruhe Institute of Technology, Germany

    2 publications · 46 citations

    2

    h-index

1–5 of 71

Institutions

31

  1. Karlsruhe Institute of Technology

    Karlsruhe, Germany

    2 h-index

    12 publications

    280 citations

  2. Chinese University of Hong Kong, Shenzhen

    Shenzhen, China

    1 h-index

    4 publications

    432 citations

  3. North China Electric Power University

    Beijing, China

    1 h-index

    4 publications

    576 citations

  4. University of Shanghai for Science and Technology

    Shanghai, China

    1 h-index

    1 publications

    21 citations

  5. Zhejiang University

    Hangzhou, China

    1 h-index

    4 publications

    80 citations

  6. Universitat de València

    Valencia, Spain

    1 h-index

    6 publications

    402 citations

  7. The University of Texas at San Antonio

    San Antonio, United States

    1 h-index

    3 publications

    375 citations

  8. Beijing Institute of Big Data Research

    Beijing, China

    1 h-index

    1 publications

    21 citations

1–8 of 31

Venues

  1. Energy and Buildings

    2 publications · 55 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 1 publications · 10 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 67 citations

    1

    h-index

  4. Applied Energy

    1 publications · 21 citations

    1

    h-index

  5. Energy

    1 publications · 108 citations

    1

    h-index

1–5