Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …
potential to change our energy supply, trade, and consumption dramatically. The new …
A comprehensive review of the load forecasting techniques using single and hybrid predictive models
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 …
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …
for energy consumption forecasting over the past decades. This paper reviews conventional …
A novel fractional grey Riccati model for carbon emission prediction
Greenhouse gas emissions bring severe challenges to the global climate, and CO 2
emission prediction can provide decision support for atmospheric environmental …
emission prediction can provide decision support for atmospheric environmental …
Fuzzy regression analysis: systematic review and bibliography
N Chukhrova, A Johannssen - Applied Soft Computing, 2019 - Elsevier
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 …
one or several independent variable (s) on a dependent variable. It is the most widely used …
Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model
HT Pao, HC Fu, CL Tseng - Energy, 2012 - Elsevier
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 …
requirements for clean energy economy and climate change in rapid growth market such as …
Forecasting Chinese CO2 emissions from fuel combustion using a novel grey multivariable model
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 …
the government to improve energy policies and plans. To this end, a novel grey multivariable …
An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO2 emission
Predictive analytics utilizing machine learning algorithms play a pivotal role in various
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …
Analysis and forecasting of the oil consumption in China based on combination models optimized by artificial intelligence algorithms
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 …
parameters affect the oil consumption. Whereas a highly accurate prediction model can help …
Forecasting Crude Oil Consumption in China Using a Grey Prediction Model with an Optimal Fractional‐Order Accumulating Operator
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 …
development based on its production and consumption. Reasonable predictions of crude oil …