A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
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 comprehensive review of hybrid models for solar radiation forecasting
Solar radiation components assessment is a highly required parameter for solar energy
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …
Wind speed and solar irradiance forecasting techniques for enhanced renewable energy integration with the grid: a review
Power generation from renewable energy resources is on the increase in most countries,
and this trend is expected to continue in the foreseeable future. In an effort to enhance the …
and this trend is expected to continue in the foreseeable future. In an effort to enhance the …
Forecasting solar radiation on an hourly time scale using a Coupled AutoRegressive and Dynamical System (CARDS) model
J Huang, M Korolkiewicz, M Agrawal, J Boland - Solar Energy, 2013 - Elsevier
The trends of solar radiation are not easy to capture and become especially hard to predict
when weather conditions change dramatically, such as with clouds blocking the sun. At …
when weather conditions change dramatically, such as with clouds blocking the sun. At …
Modelling bursts and chaos regularization in credit risk with a deterministic nonlinear model
G Orlando, M Bufalo - Finance Research Letters, 2022 - Elsevier
In this paper, we suggest a deterministic approach for modelling credit risk time series even
in distressed periods (including COVID-19). We examine the Moody's Seasoned Aaa …
in distressed periods (including COVID-19). We examine the Moody's Seasoned Aaa …
Review of forecasting methods to support photovoltaic predictive maintenance
Predictive maintenance models are thought to be a reliable alternative to costly on-site
maintenance techniques in the solar photovoltaic industry. They provide the owners with a …
maintenance techniques in the solar photovoltaic industry. They provide the owners with a …
A branching process approach to power markets
Y Jiao, C Ma, S Scotti, C Sgarra - Energy Economics, 2019 - Elsevier
We propose and investigate a market model for power prices, including most basic features
exhibited by previous models and taking into account self-exciting properties. The model …
exhibited by previous models and taking into account self-exciting properties. The model …
One-step ahead short-term hourly global solar radiation forecasting with a dynamical system based on classification of days
The data-driven method is a common approach to solar irradiation prediction. However, its
weakness is that it is highly dependent on the characteristics of the prior data, which leads to …
weakness is that it is highly dependent on the characteristics of the prior data, which leads to …
A hybrid intelligent model based on recurrent neural networks and excitable dynamics for price prediction in deregulated electricity market
This paper examines electricity price time series from dynamical system perspective and
proposes a hybrid model which employs a synergistic combination of Recurrent Neural …
proposes a hybrid model which employs a synergistic combination of Recurrent Neural …
Time series model for real-time forecasting of Australian photovoltaic solar farms power output
S Farah, J Boland - Journal of Renewable and Sustainable Energy, 2021 - pubs.aip.org
Intermittent electrical power output from grid-connected solar farms causes intermittent and
uncertain requirements for dispatchable power to balance power supply and demand …
uncertain requirements for dispatchable power to balance power supply and demand …