Work

Forecasting of Solar Power Potential in Pakistan Using Deep Learning

Year: 2024

Type: conference-paper

Source: International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)

DOI: 10.1109/etecte63967.2024.10823733

Authors: Zagham Muhio Din, Muhammad Uzair, Ghulam Abbas, Arqam Saad, Shahraiz Khan, Umar Farooq

Institutions: University of the Punjab, Islamic University of Madinah, University of Lahore, Government College University, Lahore

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4406208092

FWCI:

Cites: 18

Cited by:

Related to: 10