Yearly Residential Electricity Forecasting Model Based on Fuzzy Regression Time Series in Indonesia-Reference-Cited by-同舟云学术

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Yearly Residential Electricity Forecasting Model Based on Fuzzy Regression Time Series in Indonesia

Published:2023-06-26 Issue: Volume: Page:
ISSN:
Container-title:ITISE 2023
language:
Short-container-title:

Author:

Efendi Riswan¹,Yunus Noor Wahida Md¹,Widyawati Sri Rahayu²,Susanti Rika²,Egrioglu Erol³^ORCID,Syahri Muhammad⁴,Putra Emansa Hasri⁵,Hamzah Amir⁶

Affiliation:

1. Mathematics Department, Faculty of Sciences and Mathematics, Universiti Pendidikan Sultan Idris, Tanjung Malim 35900, Malaysia

2. Faculty of Science and Technology, UIN Sultan Syarif Kasim, Pekanbaru 28293, Indonesia

3. Statistics Department, Giresun University, Giresun 28200, Turkey

4. Power Distribution Unit Pekanbaru, State Electricity Company Indonesia, P. Sekaki, Pekanbaru 28291, Indonesia

5. Electrical Engineering Department, Politeknik Caltex Riau, Rumbai 28265, Indonesia

6. Electrical Department, Universitas Riau, Pekanbaru 28291, Indonesia

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/39/1/4/pdf

Reference26 articles.

1. Review understanding and checking the assumptions of linear regression: A primer for medical researchers;Franzco;Clin. Exp. Ophthalmol.,2014

2. A Review of Machine Learning in Building Load Prediction;Zhang;Appl. Energy,2021

3. Interquartile Range Approach to Length-Interval Adjustment of Enrolment Data in Fuzzy Time Series Forecasting;Ismail;Int. J. Comp. Intell. Appl.,2012

4. A New Procedure in Stock Market Forecasting Based on Fuzzy Random Auto-Regression Time Series Model;Efendi;Inf. Sci.,2018

5. Non-probabilistic inverse fuzzy model in time series forecasting;Efendi;Int. J. Uncertain. Fuzziness Knowl.-Based Syst.,2018

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