• FORECASTING DAILY ELECTRICITY LOAD USING NEURAL NETWORKS

R. Ramakrishna*, Naveen Kumar Boiroju, M. Krishna Reddy

Abstract


In this paper, a comparative study is carried out to investigate the forecasting capability of feed-forward neural networks model and Box-Jenkins methods, which are among those forecasting models most successfully applied in practice. This study investigates application of neural networks models and the results of which will be compared with those obtained by Box-Jenkins method

Keywords


Box-Jenkins methodology, Electricity load, Neural networks.

Full Text:

PDF


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
© 2010-2022 International Journal of Mathematical Archive (IJMA)
Copyright Agreement & Authorship Responsibility
Web Counter
https://journals.zetech.ac.ke/scatter-hitam/https://silasa.sarolangunkab.go.id/swal/https://sipirus.sukabumikab.go.id/storage/uploads/-/sthai/https://sipirus.sukabumikab.go.id/storage/uploads/-/stoto/https://alwasilahlilhasanah.ac.id/starlight-princess-1000/https://www.remap.ugto.mx/pages/slot-luar-negeri-winrate-tertinggi/https://waper.serdangbedagaikab.go.id/storage/sgacor/https://waper.serdangbedagaikab.go.id/public/images/qrcode/slot-dana/https://siipbang.katingankab.go.id/storage_old/maxwin/https://waper.serdangbedagaikab.go.id/public/img/cover/10k/https://waper.serdangbedagaikab.go.id/storage/app/https://waper.serdangbedagaikab.go.id/storage/idn/