Short‐term nodal load forecasting based on machine learning techniques
Dan Lü, Dongbo Zhao, Zuyi Li
Abstract
This is the peer reviewed version of the following article: Lu, D, Zhao, D, Li, Z. Short-term nodal load forecasting based on machine learning techniques. Int Trans Electr Energ Syst. 2021; 31( 9):e13016, which has been published in final form at https://doi.org/10.1002/2050-7038.13016. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Topics & Concepts
Artificial neural networkComputer scienceExtreme learning machinePrincipal component analysisTerm (time)Lasso (programming language)Artificial intelligenceData miningMachine learningPhysicsQuantum mechanicsWorld Wide WebEnergy Load and Power ForecastingElectric Power System OptimizationGrey System Theory Applications