Work

Smart Solar Forecasting: Machine Learning Approaches for Predicting Solar Power

Year: 2024

Type: conference-paper

Source: IEEE Region 10 Conference (TENCON)

DOI: 10.1109/tencon61640.2024.10902995

Authors: Madhav Kumar, Santanu Borgohain, Kaibalya Prasad Panda, Surmila Thokchom, Gayadhar Panda

Institutions: National Institute of Technology Meghalaya, Pandit Deendayal Energy University, National Institute of Technical Teachers’ Training and Research, National Institute of Technical Teachers' Training and Research, Kolkata

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4408258312

FWCI: 2.061

Cites: 17

Cited by: 7

Related to: 10