Long short-term memory recurrent neural network for modeling temporal patterns in long-term power forecasting for solar PV facilities: Case study of South Korea
The sites selected for solar PV facilities significantly affect the amount of electric power that
can be generated over the long term. Therefore, predicting the power output of a specific PV …
can be generated over the long term. Therefore, predicting the power output of a specific PV …
[HTML][HTML] Experimental evaluation of dynamic operating concepts for alkaline water electrolyzers powered by renewable energy
Synthetic current density profiles with wind and photovoltaic power characteristics were
calculated by autoregressive-moving-average (ARMA) models for the experimental …
calculated by autoregressive-moving-average (ARMA) models for the experimental …
Probabilistic solar power forecasting based on weather scenario generation
Probabilistic solar power forecasting plays an important role in solar power grid integration
and power system operations. One of the most popular probabilistic solar forecasting …
and power system operations. One of the most popular probabilistic solar forecasting …
Deep learning based solar radiation micro forecast by fusion of infrared cloud images and radiation data
M Ajith, M Martínez-Ramón - Applied Energy, 2021 - Elsevier
Solar irradiance forecasting has been gaining paramount importance in recent years due to
its impact on power grids. However, solar energy harvesting over shorter periods also brings …
its impact on power grids. However, solar energy harvesting over shorter periods also brings …
[HTML][HTML] Limitations of EnergyPlus in analyzing energy performance of semi-transparent photovoltaic modules
Semi-transparent photovoltaic (STPV) modules are a renewable energy source that
significantly affects the energy load of buildings by simultaneously producing power and …
significantly affects the energy load of buildings by simultaneously producing power and …
Modelling global solar irradiance for any location on earth through regression analysis using high-resolution data
DR Arumugham, P Rajendran - Renewable Energy, 2021 - Elsevier
The focus of this study is to develop a highly accurate formulation to estimate the day
number (DN), solar declination angle (SOLDEC), solar altitude angle (SOLALT) and also to …
number (DN), solar declination angle (SOLDEC), solar altitude angle (SOLALT) and also to …
Impacts of array orientation and tilt angles for photovoltaic self-sufficiency and self-consumption indices in olive mills in Spain
G Jiménez-Castillo, FJ Muñoz-Rodríguez… - Electronics, 2020 - mdpi.com
Olive mills are extensive in the Mediterranean Basin, and Spain constitutes approximately
45% of global production. The industrial sector faces a new energetic paradigm where …
45% of global production. The industrial sector faces a new energetic paradigm where …
Development of a prototype for monitoring photovoltaic self-consumption systems
Currently, the increasing energy consumption around the world and the environmental
impact resulting from the use of fossil fuel-based energy have promoted the use of …
impact resulting from the use of fossil fuel-based energy have promoted the use of …
Solar energy production for a decarbonization Scenario in Spain
R Sanchez-Duran, J Barbancho, J Luque - Sustainability, 2019 - mdpi.com
Solar energy is one of the most promising sources of energy that could be used to address
distributed supply problems. Global warming and decarbonization are significant global …
distributed supply problems. Global warming and decarbonization are significant global …
Solar irradiation forecasting for the city of Durban using time series analysis
SA Ntlela, IE Davidson - 2022 30th Southern African …, 2022 - ieeexplore.ieee.org
As a result of the country's rich solar resources, local and international investors have grown
interested in the solar energy industry. The country has sufficient renewable energy …
interested in the solar energy industry. The country has sufficient renewable energy …