Miri Weiss Cohen

TL;DR: A review of state-of-the-art applications and trends in multi-agent system and smart microgrids and several combinatorial optimization problems opened to be improved and discussed along the next coming years are presented.

TL;DR: In this paper, a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units is formulated as a Mixed-Integer Linear Programming (MILP) problem, and the energy storage planning is optimized seeking to minimize the following: total microgrid (MG) costs; PEVs batteries usage; maximum peak load; difference between extreme scenarios and two Sharpe Ratio indices.

TL;DR: An evolving forecasting model based on Fuzzy Time Series, and an evolving clustering method based on TEDA (Typicality and Eccentricity Data Analytics) Framework, which uses multivariate time series in a spatio-temporal context are introduced.

TL;DR: Experimental results with benchmarking data sets showed that the proposed methodology can provide good results for clustering data and estimating its density even in the presence of events that can affect data distribution parameters, such as concept drifts.

TL;DR: In this article, a Non-Stationary Fuzzy time series (NSFTS) model is proposed to handle non-stationary data, in which perturbation functions are used to adapt membership function parameters in the knowledge base in response to statistical changes in the time series.