This paper provides an overview of various learning methods used for predicting irradiance and presents a new ensemble solar irradiance forecasting model

This paper provides an overview of various learning methods used for predicting irradiance and presents a new ensemble solar irradiance forecasting model that ...

Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison. https://doi.org/10.1016/j.ijin.2023.04 ...

Their findings indicate that DT models are the fastest but exhibit lower accuracy compared to GPR models. In contrast, the research presented in [41] uses ...

Oct 14, 2023 · This study proposes a global solar radiation forecasting approach based on federated learning (FL) and convolutional neural network (CNN).

Aug 28, 2023 · To tackle the technical challenges in solar irradiance forecasting, this study proposes a method based on dual-path information fusion and twin ...

Jun 6, 2023 · Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison. Neha Sehrawat, Sahil ...

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Our analysis revealed that ML and DL models significantly enhance forecasting accuracy, operational efficiency, and grid reliability, contributing to economic ...

Jun 9, 2023 · This study introduces HYTREM, a hybrid tree-based ensemble learning model conceived with the sustainable development of eco-friendly transportation and ...