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Tronci, E.; Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Prodanovic, M.; Gruber, J.K.; Hayes, B.; Elmegaard, L. |
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Demand-Aware Price Policy Synthesis and Verification Services for Smart Grids |
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2014 |
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Proceedings of the 5th IEEE International Conference On Smart Grid Communications (SmartGridComm 2014) |
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Call Number |
UNIROMA1 @ davi @ Tronci_etal2014 |
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43 |
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Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. |
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System Level Formal Verification via Distributed Multi-Core Hardware in the Loop Simulation |
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2014 |
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Proc. of the 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Computing (PDP 2014) |
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IEEE Computer Society |
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UNIROMA1 @ davi @ Mancini_etal2014 |
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39 |
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B. Hayes; M. Prodanovic |
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Short-term Operational Planning and State Estimation in Power Distribution Networks |
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2014 |
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Proceedings of the CIRED Electricity Distribution Workshop |
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UNIROMA1 @ davi @ |
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45 |
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B. Hayes; M. Prodanovic |
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State Estimation Techniques for Electric Power Distribution Systems |
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2014 |
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Proceedings of the 2014 UKSim-AMSS 8th European Modelling Symposium (EMS 2014) |
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UNIROMA1 @ davi @ |
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46 |
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Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. |
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SyLVaaS: System Level Formal Verification as a Service |
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2015 |
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Proceedings of the 23rd Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP 2015), special session on Formal Approaches to Parallel and Distributed Systems (4PAD) |
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UNIROMA1 @ davi @ |
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47 |
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Ebeid, E. ; Griful, S.; Mikkelsen, S.; Jacobsen, R. |
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Title |
A Methodology to Evaluate Demand Response Communication Protocols for the Smart Grid. |
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2015 |
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IEEE International Conference on Communications (ICC), UK |
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UNIROMA1 @ davi @ |
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48 |
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Kidmose, E.; Ebeid, E.; Jacobsen, R. |
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A Framework for Predicting User Behavior from the Main Smart Meter Data. |
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2015 |
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IARIA Fourth International Conference on Smart Systems, Devices and Technologies (SMART 2015), Brussels, Belgium |
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UNIROMA1 @ davi @ |
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49 |
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Hayes, B. P.; Gruber, J.K.; Prodanovic, M. |
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Short-term load forecasting at the local level using smart meter data |
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2015 |
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IEEE PES Europe Conference (PowerTech), Eindhoven, Netherlands |
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UNIROMA1 @ davi @ |
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51 |
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Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.K.; Hayes, B.; Prodanovic, M.; Elmegaard, L. |
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Title |
User Flexibility Aware Price Policy Synthesis for Smart Grids |
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2015 |
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Digital System Design (DSD), 2015 Euromicro Conference on |
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478-485 |
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Contracts;Current measurement;Load management;Power demand;Power measurement;State estimation;Substations;Grid State Estimation;Peak Shaving;Policy Robustness Verification;Price Policy Synthesis |
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Call Number |
UNIROMA1 @ davi @ ref7302312 |
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58 |
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Author |
Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
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Linear Constraints and Guarded Predicates as a Modeling Language for Discrete Time Hybrid Systems |
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2013 |
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International Journal on Advances in Software |
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vol. 6, nr 1&2 |
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155-169 |
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Model-based software design; Linear predicates; Hybrid systems |
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Model based design is particularly appealing insoftware based control systems (e.g., embeddedsoftware) design, since in such a case systemlevel specifications are much easier to definethan the control software behavior itself. Inturn, model based design of embedded systemsrequires modeling both continuous subsystems(typically, the plant) as well as discretesubsystems (the controller). This is typicallydone using hybrid systems. Mixed Integer LinearProgramming (MILP) based abstraction techniqueshave been successfully applied to automatically synthesize correct-by-construction controlsoftware for discrete time linear hybrid systems,where plant dynamics is modeled as a linearpredicate over state, input, and next statevariables. Unfortunately, MILP solvers requiresuch linear predicates to be conjunctions oflinear constraints, which is not a natural way ofmodeling hybrid systems. In this paper we showthat, under the hypothesis that each variableranges over a bounded interval, any linearpredicate built upon conjunction and disjunction of linear constraints can be automaticallytranslated into an equivalent conjunctivepredicate. Since variable bounds play a key rolein this translation, our algorithm includes aprocedure to compute all implicit variable boundsof the given linear predicate. Furthermore, weshow that a particular form of linear predicates,namely guarded predicates, are a natural andpowerful language to succinctly model discretetime linear hybrid systems dynamics. Finally, weexperimentally show the feasibility of ourapproach on an important and challenging casestudy taken from the literature, namely themulti-input Buck DC-DC Converter. As an example,the guarded predicate that models (with 57constraints) a 6-inputs Buck DC-DC Converter istranslated in a conjunctive predicate (with 102linear constraints) in about 40 minutes. |
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Iaria |
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1942-2628 |
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UNIROMA1 @ davi @ Mari_etal2013 |
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22 |
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