‘Forecasting accuracy comparison of our proposed solar irradiance forecasting model.

<p>‘Forecasting accuracy comparison of our proposed solar irradiance forecasting model.</p>

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Bibliographic Details
Main Author:	Muhammad Sadiq (9449915) (author)
Other Authors:	Muhammad Jibreel Sammar (22794443) (author), Muhammad Anwaar Saeed (22794446) (author), Lu Chen (75170) (author), Junwei Liang (11940464) (author), Mohammad Y. AlZahrani (22794449) (author), Syed Muhammad Mohsin (22794452) (author)
Published:	2025
Subjects:	Medicine Science Policy Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified environment &# 8217 cuckoo search algorithm artificial neural network address environmental concerns adaptive moment estimation 1110 &# 177 1093 &# 177 18 %, mae 17 %, mae optimized ann model ann &# 8217 renewable energy sources ann weights increases ann models enhanced mae ), improving ann weights assigned two models test dataset test data study namely study focuses solar irradiance random assignment outcomes demonstrate novel two make predictions intermittent availability increasing demand findings demonstrate electrical grid based techniques 0085 seconds 0058 seconds
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