Publications de Matteo Vasirani

Cluster-based Aggregate Forecasting for Residential Electricity Demand using Smart Meter Data

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

While electricity demand forecasting literature has focused on large, industrial, and national demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand forecasting for residential customers at the individual and aggregate level. Si ...

2015

A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

Karl Aberer, Michael Ignaz Schumacher, Alevtina Dubovitskaya, Matteo Vasirani

In this paper, we address the problem of building an anonymized medical database from multiple sources. Our proposed solution defines how to achieve data integration in a heterogeneous network of many clinical institutions, while preserving data utility an ...

Springer International Publishing2015

RoutineSense: A Mobile Sensing Framework for the Reconstruction of User Routines

Karl Aberer, Michele Catasta, Jean-Eudes Marie Ranvier, Matteo Vasirani

Modern smartphones are powerful platforms that have become part of the everyday life for most people. Thanks to their sensing and computing capabilities, smartphones can unobtrusively identify simple user states (e.g., location, performed activity, etc.), ...

2015

An Economic Analysis of Pervasive, Incentive-Based Demand Response

Karl Aberer, Tri Kurniawan Wijaya, Matteo Vasirani

Demand response (DR) emerges as one of the cheapest and greenest solutions to match supply and demand in the electricity sector. While DR has been focused on large and industrial consumers, pervasive implementation (by including residential consumers) is n ...

2015

Special Issue on Intelligent Agents in Traffic and Transportation

Matteo Vasirani

Taylor & Francis Inc2015

Utility-Based Mechanism for Structural Self-Organization in Service-Oriented MAS

Matteo Vasirani

Structural relations established among agents influence the performance of decentralized service discovery process in multiagent systems. Moreover, distributed systems should be able to adapt their structural relations to changes in environmental condition ...

Assoc Computing Machinery2014

When Bias Matters: An Economic Assessment of Demand Response Baselines for Residential Customers

Karl Aberer, Tri Kurniawan Wijaya, Matteo Vasirani

Demand response (DR) has been known to play an important role in the electricity sector to balance supply and demand. To this end, the DR baseline is a key factor in a successful DR program since it influences the incentive allocation mechanism and custome ...

Ieee-Inst Electrical Electronics Engineers Inc2014

MemorySense: Reconstructing and Ranking User Memories on Mobile Devices

Karl Aberer, Zhixian Yan, Michele Catasta, Horia Radu, Jean-Eudes Marie Ranvier, Matteo Vasirani

The richness of user-centric information gathered by modern devices can be used to keep track of memorable events, therefore acting as a prosthesis of the prone-to-forget human memory. We propose to combine virtual and physical sensors from mobile devices ...

Ieee2014

SmartD: Smart Meter Data Analytics Dashboard

Karl Aberer, Tri Kurniawan Wijaya, Aylin Jarrah Nezhad, Matteo Vasirani

The ability of smart meters to communicate energy consumption data in (near) real-time enables data analytics for novel applications, such as pervasive demand response, personalized energy feedback, outage management, and theft detection. Smart meter data ...

2014

Performance Analysis of Data Processing Architectures for the Smart Grid

Karl Aberer, Matteo Vasirani

2014

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, Michele Catasta, Mathieu Monney, Horia Radu, Jean-Eudes Marie Ranvier, Ivan Gavrilovic, Georgios Christodoulou, Matteo Vasirani, Abdessalam Ouaazki, Filip Hrisafov, Boris Perovic

2014

Privacy Enhanced Demand Response with Reputation-based Incentive Distribution

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

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

Evangelos Vrettos, Matteo Vasirani

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, Samuel François Roger Joseph Humeau, Matteo Vasirani

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