In this study, a multi-energy loads forecasting model based on the artificial intelligence
method is proposed. Firstly, based on Copula theory, the nonlinear relationship among …

Improving the prediction accuracy of aerospace engine production line yields is of significant
importance for enhancing production efficiency and optimizing production scheduling in …

Accurate calculation of water/steam temperature and pressure in the solar field of direct
steam generation (DSG) parabolic trough is essential to power dispatch and control …

Short-term load forecasting is the basis for reasonable dispatch and smooth operation of the
power grid. To improve the accuracy of short-term load forecasting, a method based on …

Shortterm load forecasting is of great significance for the economic dispatching and
operation of power systems. In order to improve the accuracy of shortterm load forecasting, a …

In order to improve the accuracy of short-term load forecasting in power systems, CatBoost
algorithm is applied to short-term power load for prediction. Compared with the traditional …

The increasing integration of renewable energy sources, such as solar photovoltaic (PV),
into the power grid has heightened the significance of accurate solar radiation forecasting …

Power load forecasting plays an important role in the power grid, which affects the decision-
making of power production and consumption. However traditional forecasting methods …

To address the data issues of slow real-time monitoring and low accuracy in power modules
for DC converter valve application, a transformer-based real-time simulation model is …