#DWS15 #smartcity

1. SystemX
Boosting Digital Transformation
Are predictive technologies the next stage in the smart city development ?
Smart City Forum 19 nov 2015

2. CONFIDENTIEL
SystemX is part of Paris-Saclay World class Innovation Cluster
Technology Research Institute on Complex Systems Digital Engineering
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60.000 students
11.000 researchers
in 10 departments out of which 5.000 in:
- Mathematics
- Information Science & Technology
- Humanities & Social Science
two Nobel Prize winners,
six Fields medalists.
Source: MIT Technology Review
> Strong development 2010-2020 backed by
French government funding
> Quality of « French » mathematical
engineers
> Paris moving to a Start up friendly region
> Presence of Worldwide actors: Transport,
Energy, Defense & Security
Largest French
competitive cluster:
Focus on digital technologies
for systems
160 world-class large
companies
480 SMEs & start ups
20 VCs & Bus. Angels
Paris-Saclay
top eight World Innovation Clusters

3. CONFIDENTIEL
Scientific & technological roadmap 2016-2020
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Industrial, economical &
societal benefits
Industrial, economical &
societal benefits
SystemX added value applied on 4 strategic domains
SystemX added valueSystemX added value
Agility
Productivity
Competitiveness
Collaborative engineering methods, processes and
software tools for complex systems
Security
Availability
User Experience
New safe and secure architectures, integrating new
usages, critical embedded systems and
infrastructures evolution
Sustainability
Security
Attractiveness
Decision-aid tools for optimal & operational
planning of Smart Territories evolution
Flexibility
Performance
Security
Digital Infrastructures architectures, protocols,
algorithms and control & management software
Systems
Engineering
Systems
Engineering
Autonomous
Transport
Autonomous
Transport
Smart
Territories
Smart
Territories
Digital
Infrastructure
Digital
Infrastructure

4. CONFIDENTIEL
Prediction for Human Mobilty: Goals
 Study and model traffic flow in multimodal road and public transportation
networks
 Understand how people move (spatial and temporal distributions, most
visited locations…)
 Predict and estimate the flow among these networks and possibly to predict
the future position of a moving object (individual or a vehicle)

5. CONFIDENTIEL
Data Analytics for Human Mobility
 Where and when people move
 How far, how fast, and by what means they travel
 Individual and aggregate scales
 Correlations with infrastructure, demographics, and social
behavior
 Use of Telecom Mobile Networks, City Sensors, Connected
objects, social networks data for inference

6. CONFIDENTIEL
Smart City Energy analytics Use Case : Smart Community
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 Data Storage (50 to 100 millions meters).
 Electric Consumption data Access.
 Temporal & Spatial Data Agregation (seconds/minutes/days).
 Consumption prediction at short (seconds) and very short terms
(minutes).
 Renewable Energy Production Prediction.
 Multi-sources, multi-energy planning.
Smart Community

7. CONFIDENTIEL
Smart City Energy analytics Data Generic Workflow
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Data CollectionData Collection
Actions (Users, Systems,
components, etc.)
Data StorageData Storage
Data
Cartography
Data
Cartography
Data Management
Data QualityData Quality
Data
Interface
Acquisition
Data
Interface
Acquisition
Data CorrectionData Correction Data SecurityData Security
Data Pre-ProcessingData Analytics
VisualizationVisualization Knowledge ExtractionKnowledge Extraction
Interactive
Analysis
Interactive
Analysis
Simulation & Modelling
Expert ModelExpert Model Statistical ModelStatistical Model
SimulationSimulation
Behaviour Improvement
Suggestion
Behaviour Improvement
Suggestion
Dashboard ObservationDashboard Observation
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22
33
444’4’
55

8. CONFIDENTIEL
Example of Energy Consumption Prediction
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horizon de prévision : 1 jour 19/02/2013
Prediction from observation on the past (business building)
Similarity based algorithm on a large set of past consumption data
Target: real time prediction
Prediction
Observed

9. Thank you for your attention
francois.stephan@irt-systemx.fr
Tel +33 1 69 08 05 62 – +33 6 78 68 65 70 - @FrancoisStephan
International & Development Director