An SOA-RBFNN approach for the system modelling of optimal energy management in grid-connected smart grid system-Reference-Cited by-同舟云学术

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An SOA-RBFNN approach for the system modelling of optimal energy management in grid-connected smart grid system

Published:2022-09-22 Issue:5 Volume:56 Page:4171-4196
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Kuppusamy Karthikumar,Vairakannu Senthil Kumar,Marimuthu Karuppiah,Natarajan Udhayaraj,Sekar Krishnakumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-022-10261-x.pdf

Reference44 articles.

1. Ahmad A, Javaid N, Guizani M, Alrajeh N, Khan Z (2017) An accurate and fast converging short-term load forecasting model for industrial applications in a smart grid. IEEE Trans Ind Inf 13(5):2587–2596

2. Aktas A, Erhan K, Özdemir S, Özdemir E (2018) Dynamic energy management for photovoltaic power system including hybrid energy storage in smart grid applications. Energy 162:72–82

3. Alzahrani A, Shamsi P, Dagli C, Ferdowsi M (2017) Solar irradiance forecasting using deep neural networks. Procedia Comput Sci 114:304–313

4. Broeer T, Fuller J, Tuffner F, Chassin D, Djilali N (2014) Modeling framework and validation of a smart grid and demand response system for wind power integration. Appl Energy 113:199–207

5. Celik B, Roche R, Suryanarayanan S, Bouquain D, Miraoui A (2017) Electric energy management in residential areas through coordination of multiple smart homes. Renew Sustain Energy Rev 80:260–275

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1. Application of Key Measurement and Control Technologies for Distributed Photovoltaic Grid Connected Systems;2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII);2024-06-12

2. Fault diagnosis study of mine drainage pump based on MED–WPD and RBFNN;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-06-06

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