[New post] Development of an Improved Short-Term Peak Load Forecasting Model Based on Seasonal Autoregressive Integrated Moving Average and Nonlinear Autoregressive Neural Network for Nigeria Power System Grid

TMLT Editorials posted: "Development of an Improved Short-Term Peak Load Forecasting Model Based on Seasonal Autoregressive Integrated Moving Average and Nonlinear Autoregressive Neural Network for Nigeria Power System Grid. ABSTRACT Electricity demand forecasting is a central" New post on Current School News Development of an Improved Short-Term Peak Load Forecasting Model Based on Seasonal Autoregressive Integrated Moving Average and Nonlinear Autoregressive Neural Network for Nigeria Power System Grid by TMLT Editorials Development of an Improved Short-Term Peak Load Forecasting Model Based on Seasonal Autoregressive Integrated Moving Average and Nonlinear Autoregressive Neural Network for Nigeria Power System Grid. ABSTRACT Electricity demand forecasting is a central and integral process for planning periodical operations and facility expansion in the electricity sector. Demand pattern is very complex due to the […] Read more of this post TMLT Editorials | August 13, 2020 at 12:26 pm | Tags: application of ai techniques in load forecasting, important factors for load forecasting, medium and long term load forecasting, relative humidity for load forecasting models, short | Categories: Electrical Engineering Project Topics | URL: https://wp.me/p6TEds-LWf Unsubscribe to no longer receive posts from Current School News. Change your email settings at Manage Subscriptions. Trouble clicking? Copy and paste this URL into your browser: https://www.currentschoolnews.com/electrical-engineering-project-topics/development-of-an-improved-short-term-peak-load-forecasting-model-based-on-seasonal-autoregressive-integrated-moving-average-and-nonlinear-autoregressive-neural-network-for-nigeria-power-system-grid/