The energy sector constitutes one of the most challenging as well as continuously growing fields of research, both from an applied and theoretic point of view. In particular, the ecosystems linked to the energy sector span from engineering-oriented ones, as in the case of solar cell productions or windplants, to the fascinating developments of forecasting methods belonging to standard inferential statistics, to stochastic modeling in continuous time, and to the most recent applications of neural network approaches. Such a plethora of different tools, solutions, and methods have been revealled to be highly efficient also with respect to the financial arena, where energy-based products, such as load\/consumption-based futures, as well as near-real, or even real, time energy exchanges, are gaining the attention of a continuously increasing number of big traders and practitioners.\u00a0Within previously depicted frameworks, this Special Issue would serve as a stimulating virtual room where the latest innovations can be presented, spanning from engineering-based approaches, hence also including, e.g., fault detection, electricity production forecast, predictive maintainance with regard to energy implant functioning, solar cells efficiency, etc., to mathematical methods, such as SPDE analysis of risky assets linked to energy sources and stochastic mean field game approaches to time dynamics of interacting energy sources, also considering NN methods for data analysis and provisions about energy production\/consumption, particularly from the point of view of renewable resources.
\nKeywords: Energy sector; Finance; Stochastic methods; Machine learning; Forecasting.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"template":"","format":"standard","topic":[430,702,644,576,597,608,449,542,635,300,545,567,563,637,604,483,491,541,497],"country":[55],"nsj_language":[57],"class_list":["post-1754","call_for_papers","type-call_for_papers","status-publish","format-standard","hentry","topic-big-data","topic-computational-methods","topic-data-analysis-processes","topic-data-management","topic-data-sensing-and-analysis","topic-ecosystems","topic-energy-efficiency","topic-energy-production","topic-future-developments","topic-innovation","topic-machine-learning","topic-methodology","topic-modeling","topic-networks","topic-process-modeling-and-simulation","topic-product-innovation","topic-renewable-energy","topic-renewable-resources","topic-service-innovation","country-switzerland","nsj_language-english"],"acf":[],"yoast_head":"\n