Open Data and Energy Analytics

被引：7
|
作者：
Nastasi, Benedetto [1 ,2 ]
Manfren, Massimiliano [3 ]
Noussan, Michel [4 ,5 ]
机构：
[1] Sapienza Univ Rome, Dept Planning Design & Technol Architecture, Via Flaminia 72, I-00196 Rome, Italy
[2] TU Delft Univ Technol, Dept Architectural Engn & Technol, Julianalaan 134, NL-2628 BL Delft, Netherlands
[3] Univ Southampton, Fac Engn & Phys Sci, Boldrewood Innovat Campus,Burgess Rd, Southampton SO16 7QF, Hants, England
[4] Fdn Eni Enrico Mattei, Corso Magenta 63, I-20123 Milan, Italy
[5] Politecn Torino, Dept Energy, Corso Duca Abruzzi 24, I-10129 Turin, Italy
来源：
ENERGIES | 2020年 / 13卷 / 09期
关键词：
open data analytics; energy planning; smart cities; open energy governance; urban database; energy mapping; building dataset; energy modelling; data mining; machine learning;
D O I：
10.3390/en13092334
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This pioneering Special Issue aims at providing the state-of-the-art on open energy data analytics; its availability in the different contexts, i.e., country peculiarities; and at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer review process and are commented on in this Editorial.
引用
收藏
页数：3
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