Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

Virtual power plants (VPPs) are promising solutions to address the decarbonization and
energy efficiency goals in the smart energy grid. They assume the coordination of local …

Due to global efforts to reduce the rise in the average global temperature by replacing fossil
fuels, the amount of wind power installed worldwide is continuously increasing. The costs …

Wind turbines are widely used worldwide to generate clean, renewable energy. The biggest
issue with a wind turbine is reducing failures and downtime, which lowers costs associated …

Home appliances are considered to account for a large portion of smart homes' energy
consumption. This is due to the abundant use of IoT devices. Various home appliances …

Renewable energy sources produce electricity without causing increment in pollution, and
solar energy is one of the primary renewable sources. Switching to renewable electricity is …

The article presents studies on the impact of the significant process parameters of a paper
machine with a Yankee cylinder on its production capacity and heat energy consumption for …

In this study, by using the capabilities of the CatBoost model and meta-heuristic algorithms,
as well as the hybridization technique, an attempt was made to improve the prediction of …

The most important underlying reasons for marketing failures are incomplete understanding
of customer wants and needs and the inability to accurately predict their future behaviors …

In order to accurately predict China's future total energy consumption, this article constructs
a random forest (RF)–sparrow search algorithm (SSA)–support vector regression machine …