Author
Gilles Notton
Other affiliations: University Institute of Technology, Burdwan University, Society of Petroleum Engineers, Centre national de la recherche scientifique
Bio: Gilles Notton is an academic researcher from University of Corsica Pascal Paoli. The author has contributed to research in topics: Photovoltaic system & Renewable energy. The author has an hindex of 37, co-authored 184 publications receiving 5324 citations. Previous affiliations of Gilles Notton include University Institute of Technology, Burdwan University & Society of Petroleum Engineers.
Papers published on a yearly basis
Papers
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TL;DR: An overview of forecasting methods of solar irradiation using machine learning approaches is given and it will be shown that other methods begin to be used in this context of prediction.
1,095 citations
TL;DR: In this paper, the performance of a photovoltaic module is studied versus environmental variables such as solar irradiance, ambient temperature and wind speed, and two types of simplified models are studied.
427 citations
TL;DR: In this article, the authors presented a technical-economic optimization study of a stand-alone hybrid PV/Wind system in Corsica Island, where the optimal dimensions of the system were derived based on the lowest levelised cost of energy (LCE).
378 citations
TL;DR: In this paper, a simulation model of finite differences describing a double-glass multi-crystalline photovoltaic module has been developed and validated using experimental data from such a PV module.
372 citations
TL;DR: In this article, an optimal sizing methodology based on an energy approach is described and applied to grid-connected photovoltaic systems taking into account the PV module technology and inclination, the inverter type and the location.
273 citations
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TL;DR: In this paper, the authors provide a unified and comprehensive theory of structural time series models, including a detailed treatment of the Kalman filter for modeling economic and social time series, and address the special problems which the treatment of such series poses.
Abstract: In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.
4,252 citations
09 Mar 2012
TL;DR: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems as mentioned in this paper, and they have been widely used in computer vision applications.
Abstract: Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology and provide an overview of ANN modeling approach and its implementation methods. † Correspondence: Chung-Ming Kuan, Institute of Economics, Academia Sinica, 128 Academia Road, Sec. 2, Taipei 115, Taiwan; ckuan@econ.sinica.edu.tw. †† I would like to express my sincere gratitude to the editor, Professor Steven Durlauf, for his patience and constructive comments on early drafts of this entry. I also thank Shih-Hsun Hsu and Yu-Lieh Huang for very helpful suggestions. The remaining errors are all mine.
2,069 citations
TL;DR: In this article, a brief discussion is presented regarding the operating temperature of one-sun commercial grade silicon-based solar cells/modules and its effect upon the electrical performance of photovoltaic installations.
1,914 citations
TL;DR: A review of the trend of development of photovoltaic/thermal technology, in particular the advancements in recent years and the future work required can be found in this article.
1,254 citations