A5102745625- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Traffic Prediction and Management Techniques
- Data Stream Mining Techniques
- Complex Network Analysis Techniques
- Advanced Battery Technologies Research
- Human Mobility and Location-Based Analysis
- Electric Vehicles and Infrastructure
- Energy Efficient Wireless Sensor Networks
- Energy Load and Power Forecasting
- Sentiment Analysis and Opinion Mining
- Data Management and Algorithms
- Distributed and Parallel Computing Systems
- Infrastructure Resilience and Vulnerability Analysis
- Advanced Clustering Algorithms Research
- Disaster Management and Resilience
- Distributed systems and fault tolerance
- Cloud Computing and Resource Management
- Public Relations and Crisis Communication
- Advanced Text Analysis Techniques
- Power Line Communications and Noise
- Sustainable Building Design and Assessment
- African history and culture analysis
- Air Quality Monitoring and Forecasting
- Opinion Dynamics and Social Influence
Polytechnic University of Turin
2015-2019
Istituto Superiore Mario Boella
2012-2015
How to effectively manage increasingly complex enterprise computing environments is one of the hardest challenges that most organizations have face in era cloud computing, big data and IoT. Advanced automation orchestration systems are valuable solutions helping IT staff handle large-scale centers. Containers new revolution world, they more lightweight than VMs, can radically decrease both start up time instances processing storage overhead with respect traditional VMs. The aim this paper...
Energy performance certification is an important tool for the assessment and improvement of energy efficiency in buildings. In this context, estimating building demand also a quick reliable way, different combinations features, key issue architects engineers who wish, example, to benchmark stock buildings or optimise refurbishment strategy. This paper proposes methodology (i) automatic estimation Primary Demand space heating ( P E D h ) (ii) characterization relationship between value main...
Energy efficiency and energy consumption awareness are a growing priority for many countries. Among the large variety of methods proposed by scientists professionals to evaluate building consumption, widely adopted approach is signature. Since data easily scale towards very datasets, problem characterizing through signature from these huge collections becomes challenging. This paper presents distributed system, named ESA, collection, storage, analysis amount energy-related keep continuously...
This paper describes a knowledge-based decision support system (KB-DSS) to improve the preparedness of crisis situations induced by natural and technological hazards. The proposed KB-DSS aims manage potential cascading effects generated triggering hazard assessing possible event time histories based on interconnected probabilistic simulation models. From methodological point view, model two Multi-Criteria Decision-Making (MCDM) algorithms follows effect model. combination allows maker in...
Predicting power demand of building heating systems is a challenging task due to the high variability their energy profiles. Power characterized by different cycles including sequences various transient and steady-state phases. To effectively perform predictive exploiting huge amount fine-grained energy-related data collected through Internet Things (IoT) devices, innovative scalable solutions should be devised. This paper presents PHi-CiB, full-stack distributed engine, addressing all tasks...
Knowledge sharing between Electric Vehicles and Smart Grid is a source for improved load management control. Recharge stations using event-driven communication share the information about recharge processes going to occur, while optimization agent(s) might prepare optimal energy use policies. In this paper, authors showcase one approach better integrating electric vehicles into smart grid. A photovoltaic power production considered, in order take account variability of availability. The...
In the last few years, capability to both generate and collect data of public interest within urban area has increased at an unprecedented rate, such extent that rapidly scale towards big data. The abundance information collected through ad-hoc sensors networks in smart city context provides a remarkable opportunity tackle interesting challenges add intelligences environment. However, for each source type, different spatial temporal references are potentially used. Hence, complexity dealing...
Electric CAR Recharge Optimization Toolkit is an integrated system for modeling and optimization of Vehicle recharge processes. It uses semantic technology to conceptualize, model, optimize battery processes occurring in smart grid. The new tool attempts the time shifting postponing demand exceeding available energy flows. useful operational planning saturated electricity grid when exceeds resources during some slots.