Optimized Sequential Agentic AI-Guided Trainable Hybrid Activation Functions for Solar Irradiance Forecasting

Accurate solar irradiance forecasting is essential for seamlessly integrating renewable energy into the power grid. This study proposes a novel agentic AI framework for solar irradiance prediction, addressing the limitation of conventional static activation functions focusing on restrict adaptabilit...

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Bibliografiske detaljer

Principais autores:	Ngiap Tiam Koh, Anurag Sharma, Jianfang Xiao, Cheng Siong Chin, Chin Jun Xing, Wai Lok Woo
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Trainable activation functions solar irradiance forecasting agentic AI attention layer
Online adgang:	https://ieeexplore.ieee.org/document/11142293/
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