Work

Energy Price Prediction with CEEMDAN-STL and Hybrid Neural Network using Time2Vec Attention-based CNN-biGRU

Year: 2024

Type: conference-paper

Source: IEEE PES Innovative Smart Grid Technologies Europe

DOI: 10.1109/isgteurope62998.2024.10863496

Authors: Edvard Avdevičius, Mina Eskander, Detlef Schulz

Institution: Helmut Schmidt University

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: W4407362866

FWCI: 1.56

Cites: 22

Cited by: 2

Related to: 10