Machine Learning

Research group for optimal planning and control of electric power systems with a high share of renewable energy sources

Submitted by sokolic on Fri, 09/13/2024 - 14:26

Damir Jakus

damir.jakus@fesb.hr

Optimal planning and operation of transmission and distribution networks with a high share of RES and EV. In this part, the activities are related to:

University of Split

ENGINEERING AND TECHNOLOGY » Electrical engineering, electronic engineering, information engineering

ENGINEERING AND TECHNOLOGY » Environmental engineering

Artificial Intelligence Special Interest Group (AISIG)

Submitted by angelo.ciaramella on Sat, 11/04/2023 - 10:31

Angelo Ciaramella

angelo.ciaramella@uniparthenope.it

In the course of his researches Angelo Ciaramella is mainly concerned with Computational Intelligence and Machine Learning techniques for Data Mining and Data Processing. In particular, he is concerned with Neural Network-based techniques for Principal Component Analysis, Independent Component Analysis, Autoencoder, Dictionary Learning and Compressive Sensing in signal processing, audio streaming, feature extraction and Blind Source Separation.

University of Naples Parthenope

NATURAL SCIENCES » Computer and information sciences