Load forecasting is a pivotal part of the power utility companies. To provide load-shedding free and uninterrupted power to the consumer, decision-makers in the utility sector must …
N Wei, C Li, X Peng, F Zeng, X Lu - Journal of Petroleum Science and …, 2019 - Elsevier
Conventional models and artificial intelligence (AI)-based models have been widely applied for energy consumption forecasting over the past decades. This paper reviews conventional …
M Gao, H Yang, Q Xiao, M Goh - Journal of Cleaner Production, 2021 - Elsevier
Greenhouse gas emissions bring severe challenges to the global climate, and CO 2 emission prediction can provide decision support for atmospheric environmental …
Statistical regression analysis is a powerful and reliable method to determine the impact of one or several independent variable (s) on a dependent variable. It is the most widely used …
Analyses and forecasts of carbon emissions, energy consumption and real outputs are key requirements for clean energy economy and climate change in rapid growth market such as …
S Ding, YG Dang, XM Li, JJ Wang, K Zhao - Journal of Cleaner Production, 2017 - Elsevier
Forecasting CO 2 emissions in China always has been of great significance as it could help the government to improve energy policies and plans. To this end, a novel grey multivariable …
Predictive analytics utilizing machine learning algorithms play a pivotal role in various domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …
J Li, R Wang, J Wang, Y Li - Energy, 2018 - Elsevier
Forecasting petroleum consumption is a complicated and challenging task because many parameters affect the oil consumption. Whereas a highly accurate prediction model can help …
H Duan, GR Lei, K Shao - Complexity, 2018 - Wiley Online Library
Crude oil, which is an important part of energy consumption, can drive or hinder economic development based on its production and consumption. Reasonable predictions of crude oil …