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Forecasting Chinese greenhouse gas emissions from energy consumption using a novel grey rolling model
Xu N, Ding S, Gong YD, Bai J
Energy, 175, 218, 2019 |
| 2 |
Forecasting the residential solar energy consumption of the United States
Wang ZX, He LY, Zheng HH
Energy, 178, 610, 2019 |
| 3 |
Forecasting China's electricity consumption using a new grey prediction model
Ding S, Hipel KW, Dang YG
Energy, 149, 314, 2018 |
| 4 |
A novel self-adapting intelligent grey model for forecasting China's natural-gas demand
Ding S
Energy, 162, 393, 2018 |
| 5 |
Novel grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in China
Xu N, Dang YG, Gong YD
Energy, 118, 473, 2017 |
| 6 |
State of charge estimation of lithium-ion batteries using a grey extended Kalman filter and a novel open-circuit voltage model
Pan HH, Lu ZQ, Lin WL, Li JZ, Chen L
Energy, 138, 764, 2017 |
| 7 |
Forecasting the natural gas demand in China using a self-adapting intelligent grey model
Zeng B, Li C
Energy, 112, 810, 2016 |
| 8 |
Forecasting the Energy-related CO2 Emissions of Turkey Using a Grey Prediction Model
Hamzacebi C, Karakurt I
Energy Sources Part A-recovery Utilization and Environmental Effects, 37(9), 1023, 2015 |
| 9 |
Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model
Pao HT, Fu HC, Tseng CL
Energy, 40(1), 400, 2012 |
| 10 |
Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil
Pao HT, Tsai CM
Energy, 36(5), 2450, 2011 |
