Journal of Electrical Engineering and Automation

As electricity demand grows, precise load forecasting becomes crucial. Leveraging big data technology to integrate vast amounts of power data, including historical loads, weather, and economic information, is essential. After preprocessing the data and extracting features, a multi-faceted prediction model is constructed, integrating machine learning and deep learning algorithms. This model effectively enhances prediction accuracy, supporting the stable operation and optimized scheduling of power systems, providing robust support for scientific decision-making in the power industry.

Power load; Big data; Prediction model; Machine learning; Deep learning