A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment
MU Mehmood, D Chun, H Han, G Jeon, K Chen - Energy and buildings, 2019 - Elsevier
After decades of evolution and improvements, Artificial Intelligence (AI) is now taking root in
our daily lives, and is starting to profoundly influence the fields of architecture and …
our daily lives, and is starting to profoundly influence the fields of architecture and …
Sizing and forecasting techniques in photovoltaic-wind based hybrid renewable energy system: A review
AK Bansal - Journal of Cleaner Production, 2022 - Elsevier
With increasing awareness towards environmental concern, efforts are made to reduce
harmful effects of conventional electricity generation methods and uses of renewable …
harmful effects of conventional electricity generation methods and uses of renewable …
A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy
A Mellit, AM Pavan - Solar energy, 2010 - Elsevier
Forecasting of solar irradiance is in general significant for planning the operations of power
plants which convert renewable energies into electricity. In particular, the possibility to …
plants which convert renewable energies into electricity. In particular, the possibility to …
Artificial intelligence techniques for photovoltaic applications: A review
A Mellit, SA Kalogirou - Progress in energy and combustion science, 2008 - Elsevier
Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …
conventional techniques or as components of integrated systems. They have been used to …
[HTML][HTML] Prediction of hourly solar radiation in Tamil Nadu using ANN model with different learning algorithms
The solar radiation is a critical metric for design and optimal operation of the solar energy
system. Most of the locations available solar radiation records are not available due to high …
system. Most of the locations available solar radiation records are not available due to high …
Estimation of daily global solar radiation using deep learning model
Solar radiation (SR) is an important data for various applications such as climate, energy
and engineering. Because of this, determination and estimation of temporal and spatial …
and engineering. Because of this, determination and estimation of temporal and spatial …
The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data
The main objective of present study is to predict daily global solar radiation (GSR) on a
horizontal surface, based on meteorological variables, using different artificial neural …
horizontal surface, based on meteorological variables, using different artificial neural …
Application of neural network to 24-hour-ahead generating power forecasting for PV system
In recent years, focus has been on environmental pollution issue resulting from consumption
of fossil fuels, eg, coal and oil. Thus, introduction of an alternative energy source such as …
of fossil fuels, eg, coal and oil. Thus, introduction of an alternative energy source such as …
Artificial neural network estimation of global solar radiation using air temperature and relative humidity
S Rehman, M Mohandes - Energy policy, 2008 - Elsevier
Measured air temperature and relative humidity values between 1998 and 2002 for Abha
city in Saudi Arabia were used for the estimation of global solar radiation (GSR) in future …
city in Saudi Arabia were used for the estimation of global solar radiation (GSR) in future …