Accurate power demand prediction of electrical vehicles (EVs) is crucial to power grid
operation. To fully utilize the existing knowledge of EVs' power demand and further improve …

Accurate solar radiation forecasting can effectively improve solar energy utilization efficiency
and decrease the operational cost of solar photovoltaic power plants. However, some …

Abstract Accurate particulate matter 2.5 (PM 2.5) prediction plays a crucial role in the
accurate management of air pollution and prevention of respiratory diseases. However, PM …

In order to solve the problem of data loss in sensor data collection, this paper took the stem
moisture data of plants as the object, and compared the filling value of missing data in the …

Abstract Machine learning (ML) is the branch of computer science that studies computer
algorithms that can learn from data. It is mainly divided into supervised learning, where the …

Application of data-driven algorithm to model and predict the future trend of the structural
health monitoring (SHM) data serves as important references for the future safety evaluation …

This study investigates seasonal performance and assesses the annual degradation rates
(RD), of three types of silicon‐based PV module technologies, using four statistical methods …

Being among the developing countries, Türkiye's electrical needs are increasing day by day
with its increase in population. To address this need, consideration should be given to …

This paper aims to fill in the missing time series of hourly surface water levels of some
stations installed along the River Seine, using the long short-term memory (LSTM) algorithm …

Accurate landslide displacement prediction is crucial for prevention and early warning. In
this paper, we proposed a novel hybrid multi-step-ahead prediction model (ARIMA-IM) that …