Impact Study of Temperature on the Time Series Electricity Demand of Urban Nepal for Short-Term Load Forecasting

Impact Study of Temperature on the Time Series Electricity Demand of Urban Nepal for Short-Term Load Forecasting

Short-term electricity demand forecasting is one of the best ways to understand the changing characteristics of demand that helps to make important decisions regarding load flow analysis, preventing imbalance in generation planning, demand management, and load scheduling, all of which are actions fo...

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Bibliographic Details
Main Authors: Yaju Rajbhandari, Anup Marahatta, Bishal Ghimire, Ashish Shrestha, Anand Gachhadar, Anup Thapa, Kamal Chapagain, Petr Korba
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied System Innovation
Subjects:
energy consumption
short-term electricity demand forecasting
feedforward neural network
temperature impact on electricity demand
Online Access:https://www.mdpi.com/2571-5577/4/3/43

Internet

https://www.mdpi.com/2571-5577/4/3/43

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