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An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework
In 2018, with proper legislation, the European Union (EU) defined the Renewable Energy Community (REC) as a local electrical grid whose participants share their self-produced renewable energy, aiming at reducing bill costs by taking advantage of proper incentives.
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids
In particular, this study focuses on the application of a Hierarchical Genetic Algorithm (HGA) for tuning the Rule Base (RB) of a Fuzzy Inference System (FIS), trying to discover a minimal fuzzy rules set in a Fuzzy Logic Controller (FLC) adopted to perform decision making in the microgrid.
Position paper: a general framework for applying machine learning techniques in operating room
In this position paper we describe a general framework for applying machine learning and pattern recognition techniques in healthcare.
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification
Modern electric power grids (smart grids) are equipped with smart sensors that allow to gather real-time information regarding the physical status of all the component elements belonging to the whole infrastructure (e. g., cables and related insulation, transformers, breakers and so on).
