Solar photovoltaic generation forecasting methods: A review
S Sobri, S Koohi-Kamali, NA Rahim - Energy conversion and management, 2018 - Elsevier
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 …
Review of photovoltaic power forecasting
Variability of solar resource poses difficulties in grid management as solar penetration rates
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …
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 …
Review on probabilistic forecasting of photovoltaic power production and electricity consumption
Abstract tAccurate forecasting simultaneously becomes more important and more
challenging due to the increasing penetration of photovoltaic (PV) systems in the built …
challenging due to the increasing penetration of photovoltaic (PV) systems in the built …
On recent advances in PV output power forecast
In last decade, the higher penetration of renewable energy resources (RES) in energy
market was encouraged by implementing the energy polices in several developed and …
market was encouraged by implementing the energy polices in several developed and …
Solar forecasting methods for renewable energy integration
The higher penetration of renewable resources in the energy portfolios of several
communities accentuates the need for accurate forecasting of variable resources (solar …
communities accentuates the need for accurate forecasting of variable resources (solar …
Best practices handbook for the collection and use of solar resource data for solar energy applications
As the world looks for low-carbon sources of energy, solar power stands out as the single
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …
[HTML][HTML] A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Predicting electricity demand data is considered an essential task in decisions taking, and
establishing new infrastructure in the power generation network. To deliver a high-quality …
establishing new infrastructure in the power generation network. To deliver a high-quality …
A current perspective on the accuracy of incoming solar energy forecasting
The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …
results reported in 1705 accuracy tests reported in several geographic regions (North …
A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects
CA Gueymard - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
In the context of the current rapid development of large-scale solar power projects, the
accuracy of the modeled radiation datasets regularly used by many different interest groups …
accuracy of the modeled radiation datasets regularly used by many different interest groups …