Massimo Trioni's scientific contributions

Publication (1)

Conference Paper
Full-text available
A framework for the power management in a smart campus environment is proposed, which enables the integration of renewable local energy sources, storage banks and controllable loads, and supports Demand Response with the electricity grid operators. We describe the system components, including an Energy Management System for the optimal scheduling o...


... The algorithm developed in [40] uses Linear Programming, whose solutions need to be rounded to integral values and can have large errors (unbounded integrality gap). The second approach is to provide computationally expensive exact solutions, for example, [12,30,7,49,10,5], where the authors use Integer/Mixed Integer Linear/Nonlinear Programming for their algorithm. Previously, we developed polynomial-time approximation algorithms for "sustainable" demand response in which aggregate curtailment was bounded over intervals of the DR event [21,22]. ...