| 1 |
Biomass energy consumption and economic growth nexus in OECD countries: A panel analysis
Ajmi AN, Inglesi-Lotz R
Renewable Energy, 162, 1649, 2020 |
| 2 |
Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model
Wang SJ, Shi CY, Fang CL, Feng KS
Applied Energy, 235, 95, 2019 |
| 3 |
A novel locally adaptive method for modeling the spatiotemporal dynamics of global electric power consumption based on DMSP-OLS nighttime stable light data
Hu T, Huang X
Applied Energy, 240, 778, 2019 |
| 4 |
Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China
Shi KF, Yang QY, Fang GL, Yu BL, Chen ZQ, Yang CS, Wu JP
Energy, 167, 641, 2019 |
| 5 |
The US Fracking Boom: Impact on Oil Prices
Frondel M, Horvath M
Energy Journal, 40(4), 191, 2019 |
| 6 |
Spatiotemporal variations of urban CO2 emissions in China: A multiscale perspective
Shi KF, Chen Y, Li LY, Huang C
Applied Energy, 211, 218, 2018 |
| 7 |
Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road
Shi KF, Yu BL, Huang C, Wu JP, Sun XF
Energy, 150, 847, 2018 |
| 8 |
A two-stage analytical approach to assess sustainable energy efficiency
Ervural BC, Zaim S, Delen D
Energy, 164, 822, 2018 |
| 9 |
China's city-level energy-related CO2 emissions: Spatiotemporal patterns and driving forces
Wang SJ, Liu XP
Applied Energy, 200, 204, 2017 |
| 10 |
Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis
Shi KF, Chen Y, Yu BL, Xu TB, Chen ZQ, Liu R, Li LY, Wu JP
Applied Energy, 168, 523, 2016 |
