Solar thermal energy technologies and its applications for process heating and power generation–A review
The industrial sector accounts for more than 54% of the total energy produced in the world
with a predicted annual growth of 1.2%. Currently, most of the industrial sectors use fossil …
with a predicted annual growth of 1.2%. Currently, most of the industrial sectors use fossil …
Machine learning methods for solar radiation forecasting: A review
Forecasting the output power of solar systems is required for the good operation of the
power grid or for the optimal management of the energy fluxes occurring into the solar …
power grid or for the optimal management of the energy fluxes occurring into the solar …
Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation
Solar radiation (SR) knowledge plays a vital role in the design, modelling, and operation of
solar energy conversion systems and future energy investment policies of the governments …
solar energy conversion systems and future energy investment policies of the governments …
Artificial neural network optimisation for monthly average daily global solar radiation prediction
The availability of reliable climatologic data is essential for multiple purposes in a wide set of
anthropic activities and operative sectors. Frequently direct measures present spatial and …
anthropic activities and operative sectors. Frequently direct measures present spatial and …
Hybrid deep learning models for multivariate forecasting of global horizontal irradiation
Increasing photovoltaic (PV) instalments could affect the stability of the electrical grid as the
PV produces weather-dependent electricity. However, prediction of the power output of the …
PV produces weather-dependent electricity. However, prediction of the power output of the …
Assessment of predicting hourly global solar radiation in Jordan based on Rules, Trees, Meta, Lazy and Function prediction methods
Nowadays, predicting solar radiation is widely increased to maximize the efficiency of solar
systems globally. Meteorological data from metrological stations is used to implement the …
systems globally. Meteorological data from metrological stations is used to implement the …
Forecasting solar radiation strength using machine learning ensemble
To enhance the forecasting of solar radiation strength on horizontals, an ensemble learning
approach is proposed. Two types of machine learning models are arranged to predict solar …
approach is proposed. Two types of machine learning models are arranged to predict solar …
Stacking-based ensemble of support vector regressors for one-day ahead solar irradiance prediction
The integration of Solar Energy in smart grids and many utilities is continuously increasing
due to its environmental and economical benefits. However, the uncertainty of available …
due to its environmental and economical benefits. However, the uncertainty of available …
[PDF][PDF] A PVT cooling system design and realization: temperature effect on the PV module performance under real operating conditions
C Hajjaj, M Benhmida, R Bendaoud… - International Journal of …, 2019 - academia.edu
It is established that the efficiency of the most common solar cells decreases when their
temperature increases. The photovoltaic module characteristics, especially its efficiency and …
temperature increases. The photovoltaic module characteristics, especially its efficiency and …
Multi-time series and-time scale modeling for wind speed and wind power forecasting part II: Medium-term and long-term applications
This paper represents the second part of an entire study which focuses on multi-time series
and-time scale modeling in wind speed and wind power forecasting. In the first part of the …
and-time scale modeling in wind speed and wind power forecasting. In the first part of the …