全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Electricity Load Forecasting Using Artificial Neural Networks

Full-Text   Cite this paper   Add to My Lib

Abstract:

Load forecasting is an essential part of an efficient power system planning and operation. This research work is on short term electricity load forecasting using Artificial Neural Network (ANN) and Ogbomoso a city in Nigeria is considered as a case study. Input variables considered are past loads history, hours of the day and days of the week, while the output is the forecasted load for 24 h ahead. The training tool Neurosolution was employed in simulating and designing the feed forward back propagation forecasting network. Result obtained shows that electricity load can be predicted ahead of time also, it can also be inferred from this research that, load forecast using neural network is somewhat intelligent in that it gives real values even when the past load history is of zero value. This shows that areas without constant supply of electricity can still forecast future loads with a reasonable error margin so as to help in better load distribution and effective load shedding planning.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133