Toward Holistic Energy Management by Electricity Load and Price Forecasting: A Comprehensive Survey-Reference-Cited by-同舟云学术

Toward Holistic Energy Management by Electricity Load and Price Forecasting: A Comprehensive Survey

Published:2023 Issue: Volume:11 Page:132604-132626
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mustafa Kainat¹,Khan Sajjad²^ORCID,Aslam Sheraz³^ORCID,Herodotou Herodotos³^ORCID,Ashraf Nouman⁴^ORCID,Daraz Amil⁵^ORCID,Alkhalifah Tamim⁶^ORCID

Affiliation:

1. Department of Computer Science, Virtual University of Pakistan, Lahore, Pakistan

2. Institute for Distributed Ledgers and Token Economy, Research Institute for Cryptoeconomics, Vienna University of Economics and Business, Wien, Austria

3. Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, Limassol, Cyprus

4. School of Electrical and Electronic Engineering, Technological University Dublin, Dublin 24, Ireland

5. School of Information Science and Engineering, NingboTech University, Ningbo, China

6. Department of Computer, College of Science and Arts in Ar Rass, Qassim University, Ar Rass, Qassim, Saudi Arabia

Funder

Deanship of Scientific Research, Qassim University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10320357.pdf?arnumber=10320357

Reference108 articles.

1. A Discrete Increment Model for Electricity Price Forecasting Based on Fractional Brownian Motion

2. A novel system for multi-step electricity price forecasting for electricity market management

3. Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning