Work

WHDNet: A Weather-Driven Hybrid Decomposition and Deep Learning Framework for Precision Power Load Forecasting

Year: 2024

Type: conference-paper

DOI: 10.1109/acepe63527.2024.10871491

Authors: Ju Moxin, Tang Weining, Liu Lijun

Institutions: State Grid Corporation of China (China), State Grid Jilin Electric Power (China)

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: W4407362847

FWCI:

Cites: 13

Cited by:

Related to: 10