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From “business as usual” to tackling climate change: Exploring factors affecting low-carbon decision-making in the canadian oil and gas sector [期刊论文]
Energy Policy, 2021-01-01, 148
Abreu M.C.S.D.;  Webb K.;  Araújo F.S.M.;  Cavalcante J.P.L.
View/Download:14/0
 
A multicriteria classification approach for assessing the current governance capacities on energy efficiency in the European Union [期刊论文]
Energy Policy, 2021-01-01, 148
Cabeça A.S.;  Henriques C.O.;  Figueira J.R.;  Silva C.S.
View/Download:5/0
 
Heuristic cues as perceptual filters: Factors influencing public support for nuclear research reactor in Singapore [期刊论文]
Energy Policy, 2021-01-01, 150
Ho S.S.;  Xiong R.;  Chuah A.S.F.
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A data-driven study of thermostat overrides during demand response events [期刊论文]
Energy Policy, 2021-01-01, 153
Sarran L.;  Gunay H.B.;  O'Brien W.;  Hviid C.A.;  Rode C.
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Developing a holistic simulation approach for parametric techno-economic analysis of wind energy [期刊论文]
Energy Policy, 2021-01-01, 149
Suzer A.E.;  Atasoy V.E.;  Ekici S.
View/Download:1/0
 
Downscaling of real-time coastal flooding predictions for decision support [期刊论文]
Natural Hazards, 2021-01-01, 107 (2
Rucker C.A.;  Tull N.;  Dietrich J.C.;  Langan T.E.;  Mitasova H.;  Blanton B.O.;  Fleming J.G.;  Luettich R.A.;  Jr.
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A multi-criteria evolutionary-based algorithm as a regional scale decision support system to optimize nitrogen consumption rate; A case study in North China plain [期刊论文]
Journal of Cleaner Production, 2020-01-01, 256
Khoshnevisan B.;  Rafiee S.;  Pan J.;  Zhang Y.;  Liu H.
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Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China [期刊论文]
Applied Energy, 2020-01-01, 261
Zheng S.;  Huang G.;  Zhou X.;  Zhu X.
View/Download:16/0
 
Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016 [期刊论文]
Atmospheric Environment, 2020-01-01, 224
Mandal S.;  Madhipatla K.K.;  Guttikunda S.;  Kloog I.;  Prabhakaran D.;  Schwartz J.D.;  GeoHealth Hub India Team
View/Download:8/0
 
A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration [期刊论文]
Atmospheric Environment, 2020-01-01, 222
Berrocal V.J.;  Guan Y.;  Muyskens A.;  Wang H.;  Reich B.J.;  Mulholland J.A.;  Chang H.H.
View/Download:12/0
 

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