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Keyword: Short-term load forecast
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7 Pages, 1,263 KB Download PDF

Improve the Accuracy of Short-Term Forecasting Algorithms by Standardized Load Profile and Support Regression Vector: Case study Vietnam

Advances in Science, Technology and Engineering Systems Journal, Volume 4, Issue 5, Page # 243–249, 2019; DOI: 10.25046/aj040530
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…

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(This article belongs to Section Electronic Engineering (EEE))

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