A comparative study of artificial neural network and ANFIS for short term load forecasting-Reference-Cited by-同舟云学术

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A comparative study of artificial neural network and ANFIS for short term load forecasting

Published:2014-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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Author:

Cevik Hasan Huseyin,Cunkas Mehmet

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7083368/7090132/07090206.pdf?arnumber=7090206

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models;Mathematics;2022-04-17

3. Long-term forecasting of electricity in East Kalimantan Province using the fuzzy logic approach;IOP Conference Series: Materials Science and Engineering;2021-03-01

4. Short-Term Electricity Consumption Forecast Using Datasets of Various Granularities;Data Analytics for Renewable Energy Integration. Technologies, Systems and Society;2018

5. Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market;PLOS ONE;2017-04-20

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