Work

Revenue Prediction for Integrated Renewable Energy Systems: ML Techniques

Year: 2024

Type: conference-paper

Source: International Conference on IoT, Communication and Automation Technology (ICICAT)

DOI: 10.1109/icicat62666.2024.10922977

Authors: Doaa Talib Zaidan, Mina Qahtan Mahmoud, A. A. Al Layith, Ayham Sameer Faaq Roukiah, Zaid Alsalami, Yousr Sattar, Ali Ghobash

Institutions: University of Kut, University of Mashreq, Mazaya University College, Islamic University of Najaf, Al-Farahidi University, Al-Kunooze University

Language: English

Topic: Electric Power System Optimization

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: W4408714469

FWCI:

Cites: 36

Cited by:

Related to: 10