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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 …
A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment
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 …
Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components
Three methods, smart persistence, artificial neural network and random forest, are compared
to forecast the three components of solar irradiation (global horizontal, beam normal and …
to forecast the three components of solar irradiation (global horizontal, beam normal and …
[HTML][HTML] A long-term spatiotemporal analysis of vegetation greenness over the Himalayan Region using Google Earth Engine
The Himalayas constitute one of the richest and most diverse ecosystems in the Indian sub-
continent. Vegetation greenness driven by climate in the Himalayan region is often …
continent. Vegetation greenness driven by climate in the Himalayan region is often …
A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy
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
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 …
Photovoltaic power forecasting using statistical methods: impact of weather data
An important issue for the growth and management of grid‐connected photovoltaic (PV)
systems is the possibility to forecast the power output over different horizons. In this work …
systems is the possibility to forecast the power output over different horizons. In this work …
Artificial neural network based daily local forecasting for global solar radiation
When a part of the power is generated by grid connected photovoltaic installations, an
effective global solar irradiation (GSI) forecasting tool becomes a must to ensure the quality …
effective global solar irradiation (GSI) forecasting tool becomes a must to ensure the quality …
A review of solar energy modeling techniques
Solar radiation data provide information on how much of the sun's energy strikes a surface at
a location on the earth during a particular time period. These data are needed for effective …
a location on the earth during a particular time period. These data are needed for effective …
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 …