Work

Assessing Predictor Influence in LSTM Models for Enhanced Solar Energy Forecasting

Year: 2024

Type: conference-paper

Source: International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

DOI: 10.1109/synasc65383.2024.00062

Authors: Alexandru-Adrian Ciobanu, Nebojsa Bacanin, Tilman Sanders, Catalin Stoean

Institutions: University of Craiova, Singidunum University, FH Münster University of Applied Sciences

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funder: European Commission

Award: Clean Energy Transition Partnership

OpenAlex ID: W4407951115

FWCI: 1.175

Cites: 8

Cited by: 4

Related to: 10