1 |
Gasoline demand, pricing policy, and social welfare in Saudi Arabia: A quantitative analysis Atalla TN, Gasim AA, Hunt LC Energy Policy, 114, 123, 2018 |
2 |
Decline in China's coal consumption: An evidence of peak coal or a temporary blip? Wang Q, Li RR Energy Policy, 108, 696, 2017 |
3 |
An alternative method to predict future weather data for building energy demand simulation under global climate change Zhua MY, Pan YQ, Huang ZZ, Xu P Energy and Buildings, 113, 74, 2016 |
4 |
Prediction of surface temperatures for the assessment of urban heat island effect over Ahmedabad city using linear time series model Mathew A, Sreekumar S, Khandelwal S, Kaul N, Kumar R Energy and Buildings, 128, 605, 2016 |
5 |
A time series model coefficients monitoring approach for controlled processes Zheng Y, Wang Y, Wong DSH, Wang YW Chemical Engineering Research & Design, 100, 228, 2015 |
6 |
Analysis of daily solar power prediction with data-driven approaches Long H, Zhang ZJ, Su Y Applied Energy, 126, 29, 2014 |
7 |
Fault Prediction Based on Dynamic Model and Grey Time Series Model in Chemical Processes Tian WD, Hu MG, Li CK Chinese Journal of Chemical Engineering, 22(6), 643, 2014 |
8 |
Predicting oil price movements: A dynamic Artificial Neural Network approach Godarzi AA, Amiri RM, Talaei A, Jamasb T Energy Policy, 68, 371, 2014 |
9 |
Long-term forecasting of hourly electricity load: Identification of consumption profiles and segmentation of customers Andersen FM, Larsen HV, Boomsma TK Energy Conversion and Management, 68, 244, 2013 |
10 |
What drives the change in UK household energy expenditure and associated CO2 emissions? Implication and forecast to 2020 Chitnis M, Hunt LC Applied Energy, 94, 202, 2012 |