Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
The prediction of global solar radiation for the regions is of great importance in terms of
giving directions of solar energy conversion systems (design, modeling, and operation) …
giving directions of solar energy conversion systems (design, modeling, and operation) …
Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research …
The increased demand for solar renewable energy sources has created recent interest in
the economic and technical issues related to the integration of Photovoltaic (PV) into the …
the economic and technical issues related to the integration of Photovoltaic (PV) into the …
Photovoltaic power forecasting based on GA improved Bi-LSTM in microgrid without meteorological information
Due to flexible and clean nature, distributed photovoltaic (PV) power plants in micro-grid are
essential for solving energy and environmental problems. However, because of the high …
essential for solving energy and environmental problems. However, because of the high …
Experimental investigation and prediction of performance and emission responses of a CI engine fuelled with different metal-oxide based nanoparticles–diesel blends …
Ü Ağbulut, AE Gürel, S Sarıdemir - Energy, 2021 - Elsevier
Abstract Deep learning (DL), Artificial Neural Network (ANN), Kernel Nearest Neighbor (k-
NN), and Support Vector Machine (SVM) have been applied to numerous fields owing to …
NN), and Support Vector Machine (SVM) have been applied to numerous fields owing to …
Performance improvement of empirical models for estimation of global solar radiation in India: A k-fold cross-validation approach
In this work, global solar radiation is estimated based on sunshine duration. Solar radiation
measurements have been collected from the Indian Meteorological Department (Pune …
measurements have been collected from the Indian Meteorological Department (Pune …
A comprehensive review and analysis of solar forecasting techniques
In the last two decades, renewable energy has been paid immeasurable attention to toward
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
Ensemble machine-learning models for accurate prediction of solar irradiation in Bangladesh
Improved irradiance forecasting ensures precise solar power generation forecasts, resulting
in smoother operation of the distribution grid. Empirical models are used to estimate …
in smoother operation of the distribution grid. Empirical models are used to estimate …
Estimation of daily global solar radiation using empirical and machine-learning methods: A case study of five Moroccan locations
Reliable solar radiation data are essential to study the feasibility and to determine the
optimal size of solar plants in a particular location. However, the network of solar radiation …
optimal size of solar plants in a particular location. However, the network of solar radiation …
[HTML][HTML] A hybrid approach using AHP–TOPSIS methods for ranking of soft computing techniques based on their attributes for prediction of solar radiation
Recent developments in solar equipment's have motivated researchers to formulate an
accurate measurement system for solar radiation under varying environment circumstances …
accurate measurement system for solar radiation under varying environment circumstances …
Co-pyrolysis of coal slime and cattle manure by TG–FTIR–MS and artificial neural network modeling: Pyrolysis behavior, kinetics, gas emission characteristics
C Jiang, W Zhou, H Bi, Z Ni, H Sun, Q Lin - Energy, 2022 - Elsevier
Abstract In this study, Thermogravimetric-Mass spectrometry-Fourier transform infrared
spectrometry (TG-MS-FTIR) were used to study the co-pyrolysis behavior and gaseous …
spectrometry (TG-MS-FTIR) were used to study the co-pyrolysis behavior and gaseous …