Prediction of solar radiation using meteorological data
M Demirtas, M Yesilbudak… - … on Renewable Energy …, 2012 - ieeexplore.ieee.org
Solar radiation prediction has a great importance in electricity generation from solar energy
and helps to size photovoltaic power systems. Therefore, the solar radiation parameter was …
and helps to size photovoltaic power systems. Therefore, the solar radiation parameter was …
Short term forecasting of global solar irradiance by k-nearest neighbor multilayer backpropagation learning neural network algorithm
UT Kartini, CR Chen - Proceedings of the 1st International Conference …, 2017 - dl.acm.org
The paper proposes based on meteorology data, especially for optimizing the operation of
power generating electricity from photovoltaic energy. This paper proposes a novel …
power generating electricity from photovoltaic energy. This paper proposes a novel …
k-Nearest Neighbor Neural Network Models for Very Short-Term Global Solar Irradiance Forecasting Based on Meteorological Data
CR Chen, U Three Kartini - Energies, 2017 - mdpi.com
This paper proposes a novel methodology for very short term forecasting of hourly global
solar irradiance (GSI). The proposed methodology is based on meteorology data, especially …
solar irradiance (GSI). The proposed methodology is based on meteorology data, especially …
Solar forecasting by K-Nearest Neighbors method with weather classification and physical model
With the increasing penetration of solar photovoltaic (PV) generation in the power system,
the reliability of the distribution system and efficiency of PV systems have garnered …
the reliability of the distribution system and efficiency of PV systems have garnered …
Solar radiation forecasting based on meteorological data using artificial neural networks
A Ghanbarzadeh, AR Noghrehabadi… - 2009 7th IEEE …, 2009 - ieeexplore.ieee.org
The main objective is to predict daily global solar radiation (GSR) in future time domain
based on measured air temperature, relative humidity and sunshine hours values between …
based on measured air temperature, relative humidity and sunshine hours values between …
Review on artificial neural network based solar radiation prediction
R Meenal, AI Selvakumar - 2017 2nd international conference …, 2017 - ieeexplore.ieee.org
Accurate prediction of global solar radiation (GSR) is very important for all solar energy
applications such as design of solar energy system, management of solar power plants and …
applications such as design of solar energy system, management of solar power plants and …
Solar power generation prediction by using k-nearest neighbor method
The increasing of global energy demand by 2.1% in 2017 which is more than twice the
previous year's rate resulting in increasing of carbon dioxide emissions by 1.4% in the …
previous year's rate resulting in increasing of carbon dioxide emissions by 1.4% in the …
Effective estimation of hourly global solar radiation using machine learning algorithms
AB Guher, S Tasdemir… - International Journal of …, 2020 - Wiley Online Library
The precise estimation of solar radiation is of great importance in solar energy applications
with respect to installation and capacity. In estimate modelling on selected target locations …
with respect to installation and capacity. In estimate modelling on selected target locations …
Most influential variables for solar radiation forecasting using artificial neural networks
BM Alluhaidah, SH Shehadeh… - 2014 IEEE Electrical …, 2014 - ieeexplore.ieee.org
Decaying fossil fuel resources, international relation complexities, and the risks associated
with nuclear power have led to an increased demand for alternative energy sources …
with nuclear power have led to an increased demand for alternative energy sources …
Estimation of daily global solar radiation using temperature, relative humidity and seasons with ANN for Indian stations
Global solar radiation (GSR) is an important parameter in the design of photovoltaic
systems. An accurate knowledge of the GSR of a location is essential for the efficient design …
systems. An accurate knowledge of the GSR of a location is essential for the efficient design …