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Author/Affiliation: Nguyen Thanh PhuongOpen AccessArticle
7 Pages, 1,263 KB 
Improve the Accuracy of Short-Term Forecasting Algorithms by Standardized Load Profile and Support Regression Vector: Case study Vietnam
Abstract:
Short-term load forecasting (STLF) plays an important role in building business strategies, ensuring reliability and safe operation for any electrical system. There are many different methods, including: regression models, time series, neural networks, expert systems, fuzzy logic, machine learning and statistical algorithms used for short-term forecasts. However, the practical requirement is how to minimize the…
Read More(This article belongs to Section Electronic Engineering (EEE))