Work

Wind Power Generation Prediction Based on Bayesian Optimized XGBoost

Year: 2025

Type: conference-paper

DOI: 10.1109/iccepe66357.2025.11193200

Authors: Le Gao, Xiaojiang Zou, Jia Wang

Institution: Neijiang Vocational & Technical College

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: W4415222691

FWCI:

Cites: 7

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