Statistical Load Forecasting
Statistical Load Forecasting is a load forecasting approach that belongs to the class of quantitative methods in which historical load data and statistical models are used to capture temporal patterns, trends, and seasonality for predicting future electricity demand.
200
Publications
10.1K
Citations
662
Authors
293
Institutions
Publications per year
2017–2026
90
Parents
200
Review and prospect of data-driven techniques for load forecasting in integrated energy systems
Jizhong Zhu, Hanjiang Dong, Weiye Zheng et al. · Applied Energy · 2022 · 281 citations
Nian Liu, Qingfeng Tang, Jianhua Zhang et al. · Applied Energy · 2014 · 219 citations
Business, Meteorology, Forecasting +15
1–5 of 200
662
5
h-index
3
h-index
2
h-index
University of Electronic Science and Technology of China, China
2 publications · 297 citations
2
h-index
2
h-index
1–5 of 662
293

Hefei University of Technology
Hefei, China
6 h-index
18 publications
987 citations

Dongbei University of Finance and Economics
Dalian, China
6 h-index
11 publications
737 citations

North China Electric Power University
Beijing, China
4 h-index
15 publications
1.4K citations
Tsinghua University
Beijing, China
4 h-index
12 publications
560 citations
University of California San Diego
San Diego, United States
3 h-index
9 publications
243 citations

University of Duisburg-Essen
Essen, Germany
3 h-index
4 publications
157 citations
Edison International (United States)
Rosemead, United States
3 h-index
5 publications
190 citations
University of Oxford
Oxford, United Kingdom
3 h-index
5 publications
475 citations
1–8 of 293
16 publications · 1.2K citations
16
h-index
16 publications · 1.4K citations
14
h-index
12 publications · 789 citations
12
h-index
10 publications · 611 citations
10
h-index
7 publications · 1.1K citations
7
h-index
1–5