Load forecasting for months of the Lunar New Year holiday using standardized load profile and support regression vector: Case study Ho Chi Minh City

The paper proposes a method of short-term load forecasting by constructing a Standardized Load Profile (SLP) based on the past electrical load data, combining machine learning algorithms Support Regression Vector (SVR) to improve the accuracy of load forecasting algorithms.