Work

Machine Learning in Renewable Energy Systems

Year: 2024

Type: conference-paper

Source: International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

DOI: 10.1109/iceccme62383.2024.10796132

Authors: Muhammad Sohail Munir, Usama Shahid, Usama Nasir, Muhammad Zulkifl Hasan, Muhammad Zunnurain Hussain, Hoor Fatima, Muhammad Atif Yaqub

Institutions: University of Gloucestershire, Bahria University, University of Central Punjab, National College of Business Administration and Economics

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

OpenAlex ID: W4405709485

FWCI: 4.001

Cites: 26

Cited by: 5

Related to: 10