Spatial Load Forecasting
Spatial Load Forecasting is a type of load forecasting methodology that specifically incorporates geographic distribution and locational variations in electricity demand to predict spatially disaggregated power loads at regional or sub-regional levels.
69
Publications
2.2K
Citations
202
Authors
75
Institutions
Publications per year
2017–2026
30
Parents
69
A Data-Driven Bottom-Up Approach for Spatial and Temporal Electric Load Forecasting
Chengjin Ye, Yi Ding, Peng Wang et al. · IEEE Transactions on Power Systems · 2019 · 74 citations
Computing, Data Science, Forecasting +16
1–5 of 69
202
9
h-index
8
h-index
Universidade Estadual do Oeste do Paraná, Brazil
5 publications · 135 citations
5
h-index
4
h-index
4
h-index
1–5 of 202
75
Universidade Estadual Paulista (Unesp)
São Paulo, Brazil
10 h-index
24 publications
522 citations
North Carolina State University
Raleigh, United States
5 h-index
7 publications
287 citations
Northeast Electric Power University
Jilin City, China
4 h-index
16 publications
631 citations

Universidade Estadual do Oeste do Paraná
Cascavel, Brazil
4 h-index
4 publications
67 citations

North China Electric Power University
Beijing, China
3 h-index
14 publications
406 citations

Zhejiang University
Hangzhou, China
3 h-index
5 publications
281 citations
Tianjin University
Tianjin, China
2 h-index
6 publications
172 citations

National Sun Yat-sen University
Kaohsiung City, Taiwan
2 h-index
3 publications
132 citations
1–8 of 75
8 publications · 459 citations
8
h-index
5 publications · 135 citations
5
h-index
5 publications · 167 citations
5
h-index
4 publications · 177 citations
4
h-index
4 publications · 72 citations
4
h-index
1–5