Artificial intelligence in energy industry : forecasting electricity consumption through cohort intelligence & adaptive neural fuzzy inference system
Salih Tutun, Ali Tosyali, Hossein Sangrody, Mohammad Khasawneh, Marina Johnson, Abdullah Albizri and Antoine Harfouche
| Year of publication: |
2023
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|---|---|
| Authors: | Tutun, Salih ; Tosyali, Ali ; Sangrody, Hossein ; Khasawneh, Mohammad ; Johnson, Marina Evrim ; Albizri, Abdullah ; Harfouche, Antoine |
| Published in: |
Journal of business analytics. - London : Taylor & Francis Group, ISSN 2573-2358, ZDB-ID 2907637-7. - Vol. 6.2023, 1, p. 59-76
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| Subject: | ANFIS | artificial intelligence | Cohort Intelligence | electricity demand forecasting | Energy demand forecasting | machine learning | metaheuristics | parameter optimization | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Elektrizität | Electricity | Energieprognose | Energy forecast | Energiekonsum | Energy consumption | Fuzzy-Set-Theorie | Fuzzy sets | Expertensystem | Expert system |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/2573234X.2022.2046514 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013536148