Laura Pimpinella

TL;DR: Results provide a proof of concept about the consumers benefits coming from the use of local energy management systems and the relevance of automated Demand Side Management for the general target of efficient and cost effective operation of electric networks.

TL;DR: The proposed approach allows the consumer to minimize the daily energy cost in scenarios characterized by Time of Use tariffs and Demand Side Management, by dynamically evaluating the best time to run of the appliances and the optimal evolution of the battery level of charge.

TL;DR: Results provide a proof of concept about the consumers benefits coming from the use of local energy management systems and the relevance of automated Demand Side Management for the general target of efficient and cost effective operation of electric networks.

TL;DR: In this paper, the control problem of the wind turbine driven doubly fed induction generator (DFIG) is faced, both in wind park operator and system operator perspective, both from an ancillary services to the system operator and the maximization of wind park operators profitability.

TL;DR: This work faces the Routing problem defined as an optimal control problem, with control variables representing the percentages of each flow routed along the available paths (multi-path routing), and a set of cost functions corresponding to the two different objectives of traffic balancing and bottleneck load minimization.