Work

Short-term Electricity Price Forecasting Method Based on CNN-LSTM by Random Forest and EEMD

Year: 2024

Type: conference-paper

Source: International Conference on Electrical Engineering and Control Science (IC2ECS)

DOI: 10.1109/ic2ecs64405.2024.10928465

Authors: Chuan Zhao, Zhongde Zhang, Ke Gao, Peng Wang

Institution: North China Electric Power University

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

Open Access status: closed

OpenAlex ID: W4408887979

FWCI: 2.344

Cites: 11

Cited by: 3

Related to: 10