88 citations · 405 across the 16 of their papers we have counts for
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A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
Bio-inspired algorithms like Genetic Algorithms and Fuzzy Inference Systems (FIS) are nowadays widely adopted as hybrid techniques in commercial and industrial environment. In this…
Data granulation by the principles of uncertainty
Lorenzo Livi, Alireza Sadeghian
Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to ch…
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification
Enrico De Santis, Lorenzo Livi, Alireza Sadeghian +1
Detecting faults in electrical power grids is of paramount importance, either from the electricity operator and consumer viewpoints. Modern electric power grids (smart grids) are e…