Work

Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting

Year: 2024

Type: conference-paper

Source: International Conference on Smart Systems and Technologies (SST)

DOI: 10.1109/sst61991.2024.10755283

Authors: M. J. Jiménez-Navarro, A. R. Troncoso-García, A. Troncoso, F. Martínez-Álvarez, M. Martínez-Ballesteros

Institutions: Universidad de Sevilla, Universidad Pablo de Olavide

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

Open Access status: closed

Funder: Junta de Andalucía

OpenAlex ID: W4404563791

FWCI: 4.03

Cites:

Cited by: 5

Related to: 10