Work

SAC-ConvLSTM: A novel spatio-temporal deep learning-based approach for a short term power load forecasting

Year: 2023

Type: article

Source: Expert Systems with Applications

DOI: 10.1016/j.eswa.2023.121487

Authors: Rasoul Jalalifar, Mahmoud Reza Delavar, Sayed Farid Ghaderi

Institution: University of Tehran

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: W4386783337

FWCI: 5.993

Cites: 70

Cited by: 82

Related to: 10