| 1 |
Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model
Wu WQ, Ma X, Zeng B, Wang Y, Cai W
Renewable Energy, 140, 70, 2019 |
| 2 |
A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors
Wang ZX, Li Q, Pei LL
Energy, 154, 522, 2018 |
| 3 |
Prediction of spontaneous combustion in the coal stockpile based on an improved metabolic grey model
Li SJ, Ma XP, Yang CY
Process Safety and Environmental Protection, 116, 564, 2018 |
| 4 |
Perceptual and emotional effects of light and color in a simulated retail space
Lombana M, Tonello GL
Color Research and Application, 42(5), 619, 2017 |
| 5 |
Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model
Yuan CQ, Liu SF, Fang ZG
Energy, 100, 384, 2016 |
| 6 |
Optimal modeling and forecasting of the energy consumption and production in China
Xiong PP, Dang YG, Yao TX, Wang ZX
Energy, 77, 623, 2014 |
| 7 |
A trigonometric grey prediction approach to forecasting electricity demand
Zhou P, Ang BW, Poh KL
Energy, 31(14), 2839, 2006 |
| 8 |
Applications of improved grey prediction model for power demand forecasting
Hsu CC, Chen CY
Energy Conversion and Management, 44(14), 2241, 2003 |
