Work

Performance Comparison of Machine Learning Approaches for Predicting Wind Power Generation of Thambapavani Wind Farm in Sri Lanka

Year: 2024

Type: conference-paper

Source: SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)

DOI: 10.1109/slaai-icai63667.2024.10844974

Authors: W.M.S. K Kumari, N. Yapage

Institution: University of Ruhuna

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4406612067

FWCI: 0.806

Cites: 10

Cited by: 1

Related to: 10