Peak Load Forecasting Using Multiple-Year Data with Trend Data Processing Techniques

摘要

This paper presents a regression-based daily peak load forecasting method using multiple-year data with trend cancellation and trend estimation techniques. Daily peak load heavily depends on daytime temperature and is influ- enced by the other weather factors such as humidity. Since the characteristic of the load is varying, peak loads just before a forecasting day are more significant for the fore- casting. The regression model can represent relationships between these weather factors and peak loads.