Work

Research on Short-term Power Load Forecasting Based on APSO-SVR

Year: 2024

Type: conference-paper

Source: International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)

DOI: 10.1109/ricai64321.2024.10911350

Authors: Haoxiang Zhao, Ruichen Tang, Zongyi He

Institutions: Hefei University of Technology, Northeast Agricultural University, University of Rochester

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4408401232

FWCI: 3.125

Cites:

Cited by: 4

Related to: 10