Gathering selected, revised and extended contributions from the conference 'Forecasting and Risk Management for Renewable Energy FOREWER', which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. Written by experts in statistics, probability, risk management, economics and electrical engineering, this multidisciplinary volume will serve as a reference on renewable energy risk management and at the same time as a source of inspiration for statisticians and probabilists aiming to work on energy-related problems.

The mathematical theory of ondelettes (wavelets) was developed by Yves Meyer and many collaborators about 10 years ago. It was designed for ap proximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, image and signal process ing. Five years ago wavelet theory progressively appeared to be a power ful framework for nonparametric statistical problems. Efficient computa tional implementations are beginning to surface in this second lustrum of the nineties. This book brings together these three main streams of wavelet theory. It presents the theory, discusses approximations and gives a variety of statistical applications. It is the aim of this text to introduce the novice in this field into the various aspects of wavelets. Wavelets require a highly interactive computing interface. We present therefore all applications with software code from an interactive statistical computing environment. Readers interested in theory and construction of wavelets will find here in a condensed form results that are somewhat scattered around in the research literature. A practioner will be able to use wavelets via the available software code. We hope therefore to address both theory and practice with this book and thus help to construct bridges between the different groups of scientists. This te. xt grew out of a French-German cooperation (Seminaire Paris Berlin, Seminar Berlin-Paris). This seminar brings together theoretical and applied statisticians from Berlin and Paris. This work originates in the first of these seminars organized in Garchy, Burgundy in 1994."

Cet ouvrage presente un cours de Statistique Asymptotique (avec complements de cours et exercices). Il a ete enseigne au DEA de Paris 7 de Statistique et Modeles Mathematiques en Economie et en Finance. Le but est de presenter avec un maximum d'exemples (variables independantes, dependantes, diffusions, processus, ...) les divers points de vue utilises en Statistique Asymptotique, leurs coherences et leurs differences. Ainsi se cotoient les theories d'Hajek, Le Cam, Bahadur, Ibragimov, Has'minskii, Efron, Amari, ... Le but de ce livre est de donner une vue assez large en Statistique Asymptotique et de faciliter l'acces a des ouvrages plus difficiles developpant chacun l'une de ces differentes theories de facon plus approfondie. Le dernier chapitre du livre met en application sur un exemple particulier (celui des ruptures de modeles) les theories presentees au cours des chapitres precedents et met en evidence la difference des resultats qu'elles apportent.