Matteo Vasirani

Cette personne n’est plus à l’EPFL

Publications associées (19)

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Decentralized Planning of Energy Demand for the Management of Robustness and Discomfort

Karl Aberer, Matteo Vasirani

The robustness of smart grids is challenged by unpredictable power peaks or temporal demand oscillations that can cause blackouts and increase supply costs. Planning of demand can mitigate these effects and increase robustness. However, the impact on consu ...

Institute of Electrical and Electronics Engineers2014

Evaluating Demand Response Programs: Getting the Key Performance Indicators Right

Matteo Vasirani, Mohit Jain

2014

Memo-it: Don’t write your diary, Sense it

Karl Aberer, Zhixian Yan, Matteo Vasirani, Michele Catasta, Jean-Eudes Marie Ranvier, Mathieu Monney, Horia Radu, Georgios Christodoulou, Filip Hrisafov, Boris Perovic

2014

Privacy Enhanced Demand Response with Reputation-based Incentive Distribution

Karl Aberer, Tri Kurniawan Wijaya, Matteo Vasirani, Georgios Liassas

Demand response (DR) is a Smart Grid application that aims at managing consumption of electricity in response to supply-side signals. The exchange of sensitive information (i.e., electricity consumption data) between the consumers and the DR provider is ne ...

2014

A Cost-Benefit Analysis of Data Processing Architectures for the Smart Grid

Karl Aberer, Matteo Vasirani

2014

Measuring and Controlling Unfairness in Decentralized Planning of Energy Demand

Karl Aberer, Matteo Vasirani

2014

Centralized and Decentralized Balance Group Optimization in Electricity Markets with Demand Response

Matteo Vasirani, Evangelos Vrettos

2013

An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles

Matteo Vasirani

Wind power is gaining in significance as an important renewable source of clean energy. However, due to their inherent uncertainty, wind generators are often unable to participate in the forward electricity markets like the more predictable and controllabl ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Electricity Load Forecasting for Residential Customers: Exploiting Aggregation and Correlation between Households

Karl Aberer, Tri Kurniawan Wijaya, Matteo Vasirani, Samuel François Roger Joseph Humeau

The recent development of smart meters has allowed the analysis of household electricity consumption in real time. Predicting electricity consumption at such very low scales should help to increase the efficiency of distribution networks and energy pricing ...

IEEE2013

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