High-frequency Demand Forecasting

High-Frequency Demand Forecasting is a demand forecasting method that distinguishes itself by leveraging granular, real-time or near-real-time data streams to generate short-interval predictions, enabling agile supply chain responses to rapidly evolving market conditions.

5

Publications

551

Citations

16

Authors

9

Institutions

Publications per year

2017–2026

3

Authors

16

  1. HH
    He Hongming

    China Southern Power Grid (China), China

    1 publications · 25 citations

    1

    h-index

  2. YX
    Yong Xiao

    Huazhong University of Science and Technology, China

    1 publications · 25 citations

    1

    h-index

  3. LD
    Lili Ding

    Ocean University of China, China

    1 publications · 32 citations

    1

    h-index

  4. RS
    Ravi Shankar

    Indian Institute of Technology Delhi, India

    1 publications · 149 citations

    1

    h-index

  5. JD
    Jerzy Detyna

    Wrocław University of Science and Technology, Poland

    1 publications · 35 citations

    1

    h-index

1–5 of 16

Venues

  1. Applied Energy

    1 publications · 32 citations

    1

    h-index

  2. Industrial Marketing Management

    1 publications · 149 citations

    1

    h-index

  3. Applied Mathematical Modelling

    1 publications · 35 citations

    1

    h-index

  4. Applied Soft Computing

    1 publications · 310 citations

    1

    h-index

  5. The Energy Journal

    1 publications · 10 citations

1–5