Modeling of solar energy systems using artificial neural network: A comprehensive review
The development of different solar energy (SE) systems becomes one of the most important
solutions to the problem of the rapid increase in energy demand. This may be achieved by …
solutions to the problem of the rapid increase in energy demand. This may be achieved by …
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …
pollution. Growing load requirement, global warming, and energy crisis need energy …
Solar photovoltaic generation forecasting methods: A review
Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …
for economic and environmental considerations. However, because solar-radiation …
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
Forecasting methods in energy planning models
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
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 …
Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
An overview of numerical and mathematical modelling-based distributed generation (DG)
system optimisation techniques is presented in this review paper. The objective is to …
system optimisation techniques is presented in this review paper. The objective is to …
An LSTM short-term solar irradiance forecasting under complicated weather conditions
Y Yu, J Cao, J Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Complicated weather conditions lead to intermittent, random and volatility in photovoltaic
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …
Development of a hybrid computational intelligent model for daily global solar radiation prediction
Providing an accurate and reliable solar radiation prediction is highly significant for optimal
design and management of thermal and solar photovoltaic systems. It is massively essential …
design and management of thermal and solar photovoltaic systems. It is massively essential …