Antimo Barbato

Politecnico di Milano | Polimi · Department of Electronics, Information, and Bioengineering

The residential sector is currently one of the major contributors to the global energy balance. However, the energy demand of residential users has been so far largely uncontrollable and inelastic with respect to the power grid conditions. With the massive introduction of renewable energy sources and the large variations in energy flows, also the r...

With the Smart Grid revolution and the increasing interest in renewable energy sources, the management of the electricity consumption and production of individual households and small residential communities is becoming an essential element of new power systems. The electric energy chain can greatly benefit from a flexible interaction with end-user...

In the near future, the IPv6 protocol is expected to provide internet connectivity to any object embedding a communication device, by creating the so-called Internet of Things (IoT). In this scenario, IPv6 Wireless Sensor Networks (WSNs) have a key role since they can be used to collect several environment information, hence becoming the eyes, ears...

Smart Grids have recently gained increasing at- tention as a means to efficiently manage the houses energy consumption in order to reduce their peak absorption, thus improving the performance of power generation and distribution systems. In this paper, we propose a fully distributed Demand Management System especially tailored to reduce the peak de...

With the Smart Grid revolution and the increasing interest in renewable distributed sources, house energy consumption will play a significant role in the energy system: the whole energy generation and distribution system performance can be improved by optimizing the house energy management. Beside the energy bill reduction for single users, another...

The installation of protection systems on the Medium Voltage (MV) network is probably the most pragmatic topic of the smart grid in those contexts where the regulation of distribution systems includes output-based incentives to Distribution System Operators (DSOs) related to the quality of service. One of the main obstacles to the diffusion of such...

Up to now, the evolution of the distribution network toward the smart grid model has been essentially focused on two non-intersecting areas: medium voltage network automation and smart metering. The former one is mainly focused on improving the quality of service, studying and deploying fault location, isolation and service restoration systems, whi...

The proposed framework enables innovative power management in smart campuses, integrating local renewable energy sources, battery banks and controllable loads and supporting Demand Response interactions with the electricity grid operators. The paper describes each system component: the Energy Management System responsible for power usage scheduling...

Demand Side Management (DSM) makes it possible to adjust the load experienced by the power grid while reducing the consumers' bill. Game-theoretic DSM is an appealing decentralized approach for collaboratively scheduling the usage of domestic electrical appliances within a set of households while meeting the users' preferences about the usage time....

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...

Demand-Side Management (DSM) systems represent an efficient method to improve the performance of Smart Grid infrastructures by controlling users’ power loads. In this paper, we focus our analysis on fully distributed DSM systems especially designed to reduce the peak demand of groups of residential users. In our proposed scheme, each appliance deci...

This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users. In particular, we use a dynamic pricing strategy, where energy tariffs are function of the overall power demand of customers. We consider two practical cases: (1) a fully distribut...

Game-theoretic Demand Side Management (DSM) systems have been investigated as a decentralized approach for the collaborative scheduling of the usage of domestic electrical appliances within a set of households. Such systems allow for the shifting of the starting time of deferrable devices according to the current energy price or power grid conditio...

Game-theoretic Demand-Side Management (DSM) systems represent a promising solution to control the electrical appliances of residential consumers. Such frameworks allow indeed for the optimal management of loads without any centralized coordination since decisions are taken locally and directly by users. In this paper, we focus our analysis on a gam...

Game-theoretic Demand-Side Management (DSM) systems represent a promising solution to control the electrical appliances of residential consumers. Such frameworks allow indeed for the optimal management of loads without any centralized coordination since decisions are taken locally and directly by users. In this paper, we focus our analysis on a gam...

Household Demand Side Management (DSM) systems play a key role in improving the efficiency of the entire electrical system. An efficient management of the energy resources can indeed allow spreading domestic energy loads in a smart way in order to reduce the peak power of the overall demand. To achieve this goal, home appliances and energy storage...

Electricity demand management mechanisms are expected to play a key role in smart grid infrastructures to reduce buildings power demand at peak hours, by means of dynamic pricing strategies. Unfortunately these kinds of mechanisms re-quire the users to manually set a lot of configuration parameters, thereby reducing the usability of these solutions...

Energy demand management for residential users is a promising research area within the Smart Grid revolution. The whole energy generation and distribution system perfor- mance can indeed be improved by optimizing the house energy management while still meeting the energy needs of customers. In this paper we propose Non-Cooperative models for the op...

In this paper we present a work in progress within the European project AIM for the design of a system based on wireless sensor networks to save energy in home environments.

This paper presents a Home Automation system based on Wireless Sensor Networks (WSN) that allows managing and saving the energy consumption of home appliances.

The high energy required by home appliances (like white goods, audio/video devices and communication equipments) and air conditioning systems (heating and cooling), makes our homes one of the most critical areas for the impact of energy consumption on natural environment. In this paper we present a work in progress within the European project AIM f...

With the Smart Grid revolution and the increasing interest in renewable distributed sources, house energy consump-tion will play a significant role in the energy system: the whole energy generation and distribution system performance can indeed be improved by optimizing the house energy management while still meeting the energy needs of customers....