There has been a significant increase in the attention paid to resource management in smart
grids, and several energy forecasting models have been published in the literature. It is well …

Short-term load forecasting (STLF) plays a crucial role in the planning, management, and
stability of a country's power system operation. In this study, we have developed a novel …

Short-term power load forecasting is of great significance for the reliable and safe operation
of power systems. In order to improve the accuracy of short-term load forecasting, for the …

Short-term load forecasting (STLF) plays a vital role in ensuring the safe, efficient, and
economical operation of power systems. Accurate load forecasting provides numerous …

Extracting effective features from high-dimensional datasets is crucial for determining the
accuracy of regression and classification models. Model predictions based on causality are …

Accurate prediction of pan evaporation and mean temperature is crucial for effective water
resources management, influencing the hydrological cycle and impacting water availability …

Accurate electrical demand forecasting is essential for power system efficiency, renewable
energy investment, and cost-effective electricity production. For electrical demand …

This paper presents rule-based classification and outlier replacement for data arrangement
and preprocess for daily electricity load forecasting. The historical load data from 2019 to …

There may be complex and strong coupling relationship between various loads in the
integrated energy system. Compared with the single and independent forecasting of various …

This research is framed in collaboration with SEAT SA, a Spanish car manufacturer which is
seeking to deliver the expected vehicle by the customers in the shortest timeframe, named …