Adaptive extreme learning machine using soft computing fuzzy propositions—Validating operating state of solar energy system-Reference-Cited by-同舟云学术

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Adaptive extreme learning machine using soft computing fuzzy propositions—Validating operating state of solar energy system

Published:2024-10 Issue: Volume:164 Page:111966
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Harinadha Reddy K.^ORCID

Publisher

Elsevier BV

Reference51 articles.

1. A combined interval prediction system based on fuzzy strategy and neural network for wind speed;Niu;Appl. Soft Comput.,2024

2. An adaptive power smoothing approach based on artificial potential field for PV plant with hybrid energy storage system;Wu;Sol. Energy,2024

3. An AI framework integrating physics-informed neural network with predictive control for energy-efficient food production in the built environment;Hu;Appl. Energy,2023

4. Fault detection from PV images using hybrid deep learning model;Yousif;Sol. Energy,2024

5. Do solar photovoltaic clean development mechanism projects contribute to sustainable development in Latin America? Prospects for the Paris Agreement;Ottonelli;Energy Policy,2023

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