Machine Learning Models for Generating Synthetic Solar Radiation Data at Cairo, Egypt
收藏Mendeley Data2017-09-20 更新2026-04-09 收录
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https://data.mendeley.com/datasets/w7tn8xzcyc/1
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资源简介：
The provided data is a part of my PhD thesis, which is concerned with modeling solar radiation components over Cairo, Egypt, using different machine learning algorithms, including: Artificial Neural Networks (MLP, NAR, NARX) Support Vector Machines (SVM) Adaptive Neuro-Fuzzy Inference System (ANFIS) Decision Trees (DT) Random Forest (RF) Gradient Boosting Bagging The model files can be imported and used for forecasting solar radiation using the ML_Predict.m script
创建时间：
2017-09-20
