Electricity Demand Forecasting Using a Novel Time Series Ensemble Technique-Reference-Cited by-同舟云学术

Electricity Demand Forecasting Using a Novel Time Series Ensemble Technique

Published:2024 Issue: Volume:12 Page:88963-88975
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Iftikhar Hasnain¹^ORCID,Mancha Gonzales Salvatore²,Zywiołek Justyna³,López-Gonzales Javier Linkolk²^ORCID

Affiliation:

1. Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan

2. Escuela de Posgrado, Universidad Peruana Unión, Lima, Peru

3. Faculty of Management, Czestochowa University of Technology, Czestochowa, Poland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10571944.pdf?arnumber=10571944

Reference38 articles.

1. Renewable-based electrification for remote locations. Does short-term success endure over time? A case study in Peru

2. Competition and wholesale electricity market: The monitoring task assigned to the Peruvian electricity coordinator (COES);Guevara;Revista IUS ET Veritas,2020

3. Short-Term Electricity Demand Forecasting Using ComponentsEstimation Technique

4. A Fast and Accurate Calculation Method of Line Breaking Power Flow Based on Taylor Expansion

5. Electricity theft detection in smart grid using machine learning

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