Achieving the desired accuracy in time series forecasting has become a binding domain,
and developing a forecasting framework with a high degree of accuracy is one of the most …

Solar radiation is one of the cleanest sources of renewable energy, and it affects the carbon
sink functions of terrestrial ecosystems. Although efforts have been made to establish solar …

Accurate and reliable solar radiation forecasting is of great significance for the management
and utilization of solar energy. This study proposes a deep learning model based on Bi …

In this study, a novel deep solar forecasting approach is proposed based on the complete
ensemble empirical mode decomposition with adaptive noise (CEEMDAN), continuous …

Accurate short-term load forecasting (STLF) plays an important role in the daily operation of
a smart grid. In order to forecast short-term load more effectively, this article proposes an …

Microgrid is becoming an essential part of the power grid regarding reliability, economy, and
environment. Renewable energies are main sources of energy in microgrids. Long-term …

Accurate prediction of compressive strength (fc) is one of the crucial problems in the
concrete industry. In this study, novel self-adaptive and formula-based model called …

Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …

With the aggravation of traffic congestion, traffic flow data (TFD) prediction is very important
for traffic managers to control traffic congestion and for traffic participants to plan their trips …

Data-intelligent algorithms tailored for short-term energy forecasting can generate
meaningful information on the future variability of solar energy developments. Traditional …