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
Parents
5
High frequency short-term demand forecasting model for distribution power grid based on ARIMA
He Hongming, Tao Liu, Ruimin Chen et al. · 2012 · 25 citations
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Wrocław University of Science and Technology
Wroclaw, Poland
1 h-index
3 publications
105 citations

King Abdulaziz University
Jeddah, Saudi Arabia
1 h-index
1 publications
149 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
149 citations
University of Chile
Santiago, Chile
1 h-index
1 publications
310 citations

Ocean University of China
Qingdao, China
1 h-index
3 publications
96 citations
Indian Institute of Technology Delhi
New Delhi, India
1 h-index
1 publications
149 citations
Ministry of Education of the People's Republic of China
Beijing, China
1 h-index
2 publications
64 citations
China Southern Power Grid (China)
Guangzhou, China
1 h-index
5 publications
125 citations
1–8 of 9
1 publications · 32 citations
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1 publications · 149 citations
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1 publications · 35 citations
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1 publications · 310 citations
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1 publications · 10 citations
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