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) …
Stacked LSTM sequence-to-sequence autoencoder with feature selection for daily solar radiation prediction: A review and new modeling results
We review the latest modeling techniques and propose new hybrid SAELSTM framework
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
Energy and exergy analysis of a photovoltaic thermal (PVT) system used in solar dryer: A numerical and experimental investigation
Photovoltaic-thermal (PVT) collectors can be applied in order to concurrently generation of
electrical and thermal energy. In the present study, a vertical hybrid PVT solar dryer has …
electrical and thermal energy. In the present study, a vertical hybrid PVT solar dryer has …
Impact of various metal-oxide based nanoparticles and biodiesel blends on the combustion, performance, emission, vibration and noise characteristics of a CI engine
With the burning of 1 L of diesel fuel, approximately 3 kg of greenhouse gas is released into
the atmosphere. Therefore, it is of great importance to reduce emissions with some additives …
the atmosphere. Therefore, it is of great importance to reduce emissions with some additives …
[HTML][HTML] Systematic review of solar air collector technologies: Performance evaluation, structure design and application analysis
A solar air collector (SAC) is a main device of a solar-thermal air system, which can absorb
solar radiation and transfer the absorbed thermal energy to the air. This paper presents a …
solar radiation and transfer the absorbed thermal energy to the air. This paper presents a …
[HTML][HTML] Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Global solar radiation (GSR) prediction plays an essential role in planning, controlling and
monitoring solar power systems. However, its stochastic behaviour is a significant challenge …
monitoring solar power systems. However, its stochastic behaviour is a significant challenge …
Energy, exergy, economic and environmental assessment of double pass V-corrugated-perforated finned solar air heater at different air mass ratios
An assessment of a flat plate double pass (DP) solar air heater (SAH) having V-corrugated
absorber (C_SAH) and corrugated-perforated absorber (CP_SAH) via energy, exergy …
absorber (C_SAH) and corrugated-perforated absorber (CP_SAH) via energy, exergy …
Energy-exergy and sustainability analysis of a PV-driven quadruple-flow solar drying system
Solar energy as a clean energy source is widely investigated to find out the effective
mechanisms to meet a large part of energy demand in the near future. In the present …
mechanisms to meet a large part of energy demand in the near future. In the present …
Experimental and numerical thermal performance in solar receiver heat exchanger with trapezoidal louvered winglet and wavy groove
A numerical and experimental study on the thermal–hydraulic performance of a solar
receiver heat exchanger (SRH) equipped with a newly designed longitudinal-vortex …
receiver heat exchanger (SRH) equipped with a newly designed longitudinal-vortex …
Energy-exergy and enviro-economic survey of solar air heaters with various air channel modifications
Solar air heaters (SAHs) are generally used in different applications because of their simple
structure, low setup cost, and also their higher energy conversion efficiency. In this study, a v …
structure, low setup cost, and also their higher energy conversion efficiency. In this study, a v …