Work

On the application of symbolic regression in the energy sector: Estimation of combined cycle power plant electrical power output using genetic programming algorithm

Year: 2024

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2024.108213

Authors: Nikola Anđelić, Ivan Lorencin, Vedran Mrzljak, Zlatan Car

Institutions: University of Rijeka, Juraj Dobrila University of Pula

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funders: Sveučilište u Rijeci, European Regional Development Fund

Awards: G1565444489, G246458172, G396889296, G4100563467

OpenAlex ID: W4392543704

FWCI: 2.506

Cites: 56

Cited by: 17

Related to: 10