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Cassandra Network of
Interest Webinar
Welcome to Cassandra
A multivariate platform for assessing the impact
of strategic decisions in electric power systems
Welcome to the Cassandra Webinar
 During this Webinar we will review:
 2. Concept and theoretical aspects of CASSANDRA
– By Giorgos Andreou, Lecturer at Power Systems Laboratory Department
of Electrical and Computer Engineering Aristotle University of
Thessaloniki
 3. Explanation and demonstration of CASSANDRA Modeling
Platform
– - By Christos Diou, Postdoctoral Research Associate at Centre for
Research and Technology Hellas ITI - CERTH
 4. Next steps and opportunities in platform development
for NOI Members
 5. Questions
Cassandra Webinar Network of
Interest
2June 11, 2013
Network of Interest
 Bring together stakeholders who can provide insight on
possible user requirements
 Form a community of possible users
 Allow companies to either test the platform or have their data
processed
 Enable interested parties to adapt this open source platform for
commercial use
Cassandra 1st Project Review 3Brussels, 11 Jan 2013
Cassandra at a glance
Duration: 30 months
Partners: 9
1 Research Center, 5 Universities, 3 SMEs
Person-months: 340,5
Workpackages: 8
Deliverables: 39
Requested EC
contribution: 2,834M€
Cassandra 1st Project Review 5Brussels, 11 Jan 2013
Power System Status – the near future
 Lack of tools for modeling the new Power System status
 Inability to aggregate the market power of small-scale consumers
 Necessity for dynamic models for assessing the impact of actions
and policies to be applied
 Decentralized, small-scale
production sites
 Renewable energy
 Market liberation
 Smart grid
 More players involved
Big market potential unexploited!
The Consumer
 Individual consumption is insignificant with respect to the
consumption of “bigger” players (Industrial, Commercial,
Public Service, Recreational)
 However aggregate small-scale consumption is significant
– Entire residential and large part of the commercial sector
 In fact, consumer modeling is difficult to achieve, due to:
– Lack of metering equipment (i.e. smart meters)
– Inability to model consumer activities
– Inability to model response to incentives (Demand side)
Cassandra 1st Project Review 6Brussels, 11 Jan 2013
Filling the gap… Cassandra!
A software platform for modeling the energy
market from an end user perspective
 Main Cassandra objectives:
1. Theoretical and software modeling of stakeholders in terms of
energy profiles and consumption patterns, as well as their
interactions
2. Increase the market power of low level consumers through
Consumer coalitions (Consumer Social Networks - CSNs)
3. A Key Performance Indicator (KPI) methodology, in order to
assess energy performance and CO2 emissions reduction
4. A modular, expandable software platform to model and
benchmark scenarios and act as a Decision making tool.
Cassandra 1st Project Review 7Brussels, 11 Jan 2013
Cassandra
Theoretical Modelling
Georgios Andreou
Aristotle
University of
Thessaloniki
Power Distribution Network
9Cassandra Project 1st Webinar June 11, 2013
Small Industry
MV/LV Power
Transformer
Commercial
MV/LV Power
Transformer
MV/LV Power
Transformer
Residential
Residential
Commercial
Commercial
Overhead or Underground
Power Lines
HV/MV Power
Substation
Residential
Power Distribution Network
• Consumer Side (Demand Side)
• Demand Side Management
– Consumption optimization
– Energy efficiency
– Profit
• Problems
– Which is the profile of each
consumer?
– How to cluster/categorize
consumers?
– Which DSM program/incentive to offer
to each consumer?
10Cassandra Project 1st Webinar June 11, 2013
Cassandra as a solution
• A helping hand in order to:
– Simulate the consumption of consumer populations,
– Understand behaviors that drive consumption,
– Cluster consumers into groups for more efficient incentivisation,
– Simulate consumer response to specific Demand Response programs
• Two modeling approaches:
– Input based on demographic data → aggregate results for a consumer
population
– Input based on consumer level measurements → bottom-up approach
with results regarding individual consumers and/or consumer
populations
11Cassandra Project 1st Webinar June 11, 2013
Basic modeling concepts
• Reality:
– Installation (Aggregation of all the appliances installed within the
premises of a consumer).
– Person(s) performing activities by the use of appliances according to
their utility.
– Person(s) have habits (recurrent behaviour).
– Person(s) receive incentives to modify consumption, and choose either
to respond or not according to their utility.
12Cassandra Project 1st Webinar June 11, 2013
Basic modeling concepts
• Modeling:
– An Installation consists of its Appliances.
– Measurements of the installation are used in order to determine its
Appliances, as well as the consumer Activities (Disaggregation
procedure).
– Appliances are described by Consumption Models (mathematical
representations of their active and reactive power consumption).
– Consumer utility is modelled through Utility Models.
– Incentives are modelled through Incentive Models.
– Response is modelled through Response Models.
– Auxiliary Models:
• Pricing Schemes Models
• CO2 Emission Calculation
13Cassandra Project 1st Webinar June 11, 2013
Functionality according to quality of input
• Basic simulation rule: The more information you offer as input,
the more accurate results you will obtain.
• Demographic data input: The simulation will be based on statistics,
thus it will not produce accurate individual consumer results.
• Measurement data input:
– The Cassandra modeling is based on per minute measurements of
active and reactive power for an installation (loss of information)
– Accuracy of results depends on information compensation.
14Cassandra Project 1st Webinar June 11, 2013
Cassandra platform
Christos Diou
Postdoctoral Researcher
Information Technologies Institute
(CERTH-ITI)
Cassandra platform – Christos Diou
Outline
• Library-based scenarios in the alpha platform version
– Use pre-existing library components
• Measurement-based scenarios
– Model training to build models automatically
• Response models
– Consumer response to different incentives
• Consumer Social Network analysis
– Grouping of small-scale consumers into Consumer Social Networks
• Development status and next steps
• NoI members and the platform
Cassandra 1st Webinar 16
Cassandra platform – Christos Diou
About the platform
• Currently in alpha version, development is highly active
– Some functionality has not been integrated yet
• Open source platform, publicly available through GitHub
– Apache license
• Your feedback is highly appreciated!
Cassandra 1st Webinar 17
LIBRARY-BASED SCENARIOS
Cassandra platform – Alpha version
Cassandra 1st Webinar 18
Cassandra platform – Christos Diou
Login screen
Cassandra 1st Webinar 19
Cassandra platform – Christos Diou
Main screen
Cassandra 1st Webinar 20
Projects and entities
Main panel
Libraries
Cassandra platform – Christos Diou
List of projects
Cassandra 1st Webinar 21
Cassandra platform – Christos Diou
User library
Cassandra 1st Webinar 22
Cassandra platform – Christos Diou
Cassandra library
Cassandra 1st Webinar 23
Cassandra platform – Christos Diou
Appliances in Cassandra library
Cassandra 1st Webinar 24
Cassandra platform – Christos Diou
Creating a new project
Cassandra 1st Webinar 25
Cassandra platform – Christos Diou
Adding a new scenario to our project
Cassandra 1st Webinar 26
Cassandra platform – Christos Diou
In this case, Installations are added by drag
n’ drop from the user library
Cassandra 1st Webinar 27
Cassandra platform – Christos Diou
Persons, Activities and Appliances
Cassandra 1st Webinar 28
Cassandra platform – Christos Diou
Activity models
Cassandra 1st Webinar 29
Cassandra platform – Christos Diou
Activity models (duration)
Cassandra 1st Webinar 30
Cassandra platform – Christos Diou
Activity models (start time)
Cassandra 1st Webinar 31
Cassandra platform – Christos Diou
Simulation parameters
Cassandra 1st Webinar 32
Cassandra platform – Christos Diou
Submit runs
Cassandra 1st Webinar 33
Cassandra platform – Christos Diou
What if…
• The residents of Apartment 1 use the water heater less
– Because they have installed solar water heating
• The residents of Apartment 2 use their air conditioning unit less
– Because they have upgraded their apartment’s thermal insulation
properties
• The residents of Apartment 3 replace their refrigeration unit
Cassandra 1st Webinar 34
Cassandra platform – Christos Diou
Behaviour change in Apartment 1
Cassandra 1st Webinar 35
Cassandra platform – Christos Diou
Behaviour change in Apartment 1
Cassandra 1st Webinar 36
Cassandra platform – Christos Diou
Behaviour change in Apartment 2
Cassandra 1st Webinar 37
Cassandra platform – Christos Diou
Behaviour change in Apartment 2
Cassandra 1st Webinar 38
Cassandra platform – Christos Diou
Appliance change in Apartment 3
Cassandra 1st Webinar 39
Cassandra platform – Christos Diou
Appliance change in Apartment 3
Cassandra 1st Webinar 40
Cassandra platform – Christos Diou
Submit new runs with same parameters
Cassandra 1st Webinar 41
Cassandra platform – Christos Diou
Compare the runs (graph)
Cassandra 1st Webinar 42
Cassandra platform – Christos Diou
Compare the runs (KPIs)
Cassandra 1st Webinar 43
Cassandra platform – Christos Diou
One step further
• Library-based scenarios can be used to simulate working
hypotheses
• The real power of Cassandra is in its disaggregation and model
training functionality
Cassandra 1st Webinar 44
MODEL TRAINING
Cassandra platform – Alpha version
Cassandra 1st Webinar 45
Cassandra platform – Christos Diou
Training module (to be integrated)
Cassandra 1st Webinar 46
Cassandra platform – Christos Diou
Import installation measurements
Cassandra 1st Webinar 47
Cassandra platform – Christos Diou
Import installation measurements
Cassandra 1st Webinar 48
Cassandra platform – Christos Diou
Next step: Disaggregation
Cassandra 1st Webinar 49
Cassandra platform – Christos Diou
Training consumer activity models
Cassandra 1st Webinar 50
Cassandra platform – Christos Diou
Training consumer activity models
Cassandra 1st Webinar 51
Cassandra platform – Christos Diou
Export the models to the platform libraries
Cassandra 1st Webinar 52
Cassandra platform – Christos Diou
Models are visible in the user library
Cassandra 1st Webinar 53
CONSUMER RESPONSE
Cassandra platform – Alpha version
Cassandra 1st Webinar 54
Cassandra platform – Christos Diou
Response models
Cassandra 1st Webinar 55
Cassandra platform – Christos Diou
Modify pricing scheme
Cassandra 1st Webinar 56
Cassandra platform – Christos Diou
Estimate consumer response
Cassandra 1st Webinar 57
Cassandra platform – Christos Diou
Models are posted to the platform
Cassandra 1st Webinar 58
Cassandra platform – Christos Diou
Models are posted to the platform
Cassandra 1st Webinar 59
Cassandra platform – Christos Diou
Example 1: Response from
Cassandra 1st Webinar 60
Cassandra platform – Christos Diou
from … to:
Cassandra 1st Webinar 61
Cassandra platform – Christos Diou
Example 2: Response from
Cassandra 1st Webinar 62
Cassandra platform – Christos Diou
from … to:
Cassandra 1st Webinar 63
CONSUMER SOCIAL NETWORKS
(CSN)
Cassandra platform – Alpha version
Cassandra 1st Webinar 66
Cassandra platform – Christos Diou
CSNs
• Groups of similar consumers
– Multiple similarity criteria
• CSNs have potential:
– Increased market power of aggregated small-scale consumers
– Coordination of consumption activities at group level
– Targeted incentives at group level
Cassandra platform – Christos Diou
CSN module
• CSN module: A tool for identifying links and grouping of
consumers in a meaningful way
– Existing social network connections
– Explicit attributes (e.g. working, non-working person, locality in the grid
topology)
– Implicit attributes (e.g. consumption similarity, peak similarity, behavioural
similarity)
• Early version implemented for experimentation
• Next version:
– More similarity criteria
– Estimation of group response to incentives
– GUI integration
Cassandra 1st Webinar 68
The main graphical interface
of the CSN module
The network can be created
based on Installation Type,
Person Type, Average, Peak,
Similar, or Dissimilar
Consumption, etc.
CSNetwork based on person
type. Persons of the same
type are linked.
By changing the visualization
layout algorithm….
The two different person types
appear
Visualization is Important!!!
A new network based on Peak
Consumption similarity
We select the clustering
algorithm to use
Clusters appear in different
colours
By grouping clusters…
The different consumer
groups appear
Another network based on
similar consumption
Change the edge threshold
via the appropriate slider
Select a clustering algorithm
Clusters appear in different
colors
Various statistics are
available, as well as the
consumption and information
of selected nodes
Sliders for minimum edge
weight and clustering values
Cassandra platform – Christos Diou
In summary, with Cassandra you can
• Simulate working scenarios/pilots
• Benchmark different energy efficiency solutions/products in
simulation before testing them in real-life
• Create detailed models that describe consumer behaviour
• Identify and evaluate optimal consumption schedules
• Estimate consumer response to a range of incentives
– Pricing schemes
– Consumer awareness
– Environmental impact
• Identify meaningful consumer groups and benchmark the
application of targeted incentives
Cassandra platform – Christos Diou
So, what’s next?
• Beta release is planned for October, 2013
• Integration of external modules with the platform
• Evaluation of Cassandra in our three project pilot cases
• Evaluation of Cassandra in a limited number of NoI pilots
(external evaluation)
• We can use Cassandra to simulate your context and benchmark
a number of working scenarios.
– Use measurements and the training module to model your context
– Simulate a range of scenarios appropriate for your business case
– Prepare an analysis/report of our findings
– Ask for your feedback
– Improve the platform based on your comments
Cassandra platform – Christos Diou
Thank you!
Questions?

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First Cassandra Webinar Presentation

  • 1. Cassandra Network of Interest Webinar Welcome to Cassandra A multivariate platform for assessing the impact of strategic decisions in electric power systems
  • 2. Welcome to the Cassandra Webinar  During this Webinar we will review:  2. Concept and theoretical aspects of CASSANDRA – By Giorgos Andreou, Lecturer at Power Systems Laboratory Department of Electrical and Computer Engineering Aristotle University of Thessaloniki  3. Explanation and demonstration of CASSANDRA Modeling Platform – - By Christos Diou, Postdoctoral Research Associate at Centre for Research and Technology Hellas ITI - CERTH  4. Next steps and opportunities in platform development for NOI Members  5. Questions Cassandra Webinar Network of Interest 2June 11, 2013
  • 3. Network of Interest  Bring together stakeholders who can provide insight on possible user requirements  Form a community of possible users  Allow companies to either test the platform or have their data processed  Enable interested parties to adapt this open source platform for commercial use Cassandra 1st Project Review 3Brussels, 11 Jan 2013
  • 4. Cassandra at a glance Duration: 30 months Partners: 9 1 Research Center, 5 Universities, 3 SMEs Person-months: 340,5 Workpackages: 8 Deliverables: 39 Requested EC contribution: 2,834M€
  • 5. Cassandra 1st Project Review 5Brussels, 11 Jan 2013 Power System Status – the near future  Lack of tools for modeling the new Power System status  Inability to aggregate the market power of small-scale consumers  Necessity for dynamic models for assessing the impact of actions and policies to be applied  Decentralized, small-scale production sites  Renewable energy  Market liberation  Smart grid  More players involved Big market potential unexploited!
  • 6. The Consumer  Individual consumption is insignificant with respect to the consumption of “bigger” players (Industrial, Commercial, Public Service, Recreational)  However aggregate small-scale consumption is significant – Entire residential and large part of the commercial sector  In fact, consumer modeling is difficult to achieve, due to: – Lack of metering equipment (i.e. smart meters) – Inability to model consumer activities – Inability to model response to incentives (Demand side) Cassandra 1st Project Review 6Brussels, 11 Jan 2013
  • 7. Filling the gap… Cassandra! A software platform for modeling the energy market from an end user perspective  Main Cassandra objectives: 1. Theoretical and software modeling of stakeholders in terms of energy profiles and consumption patterns, as well as their interactions 2. Increase the market power of low level consumers through Consumer coalitions (Consumer Social Networks - CSNs) 3. A Key Performance Indicator (KPI) methodology, in order to assess energy performance and CO2 emissions reduction 4. A modular, expandable software platform to model and benchmark scenarios and act as a Decision making tool. Cassandra 1st Project Review 7Brussels, 11 Jan 2013
  • 9. Power Distribution Network 9Cassandra Project 1st Webinar June 11, 2013 Small Industry MV/LV Power Transformer Commercial MV/LV Power Transformer MV/LV Power Transformer Residential Residential Commercial Commercial Overhead or Underground Power Lines HV/MV Power Substation Residential
  • 10. Power Distribution Network • Consumer Side (Demand Side) • Demand Side Management – Consumption optimization – Energy efficiency – Profit • Problems – Which is the profile of each consumer? – How to cluster/categorize consumers? – Which DSM program/incentive to offer to each consumer? 10Cassandra Project 1st Webinar June 11, 2013
  • 11. Cassandra as a solution • A helping hand in order to: – Simulate the consumption of consumer populations, – Understand behaviors that drive consumption, – Cluster consumers into groups for more efficient incentivisation, – Simulate consumer response to specific Demand Response programs • Two modeling approaches: – Input based on demographic data → aggregate results for a consumer population – Input based on consumer level measurements → bottom-up approach with results regarding individual consumers and/or consumer populations 11Cassandra Project 1st Webinar June 11, 2013
  • 12. Basic modeling concepts • Reality: – Installation (Aggregation of all the appliances installed within the premises of a consumer). – Person(s) performing activities by the use of appliances according to their utility. – Person(s) have habits (recurrent behaviour). – Person(s) receive incentives to modify consumption, and choose either to respond or not according to their utility. 12Cassandra Project 1st Webinar June 11, 2013
  • 13. Basic modeling concepts • Modeling: – An Installation consists of its Appliances. – Measurements of the installation are used in order to determine its Appliances, as well as the consumer Activities (Disaggregation procedure). – Appliances are described by Consumption Models (mathematical representations of their active and reactive power consumption). – Consumer utility is modelled through Utility Models. – Incentives are modelled through Incentive Models. – Response is modelled through Response Models. – Auxiliary Models: • Pricing Schemes Models • CO2 Emission Calculation 13Cassandra Project 1st Webinar June 11, 2013
  • 14. Functionality according to quality of input • Basic simulation rule: The more information you offer as input, the more accurate results you will obtain. • Demographic data input: The simulation will be based on statistics, thus it will not produce accurate individual consumer results. • Measurement data input: – The Cassandra modeling is based on per minute measurements of active and reactive power for an installation (loss of information) – Accuracy of results depends on information compensation. 14Cassandra Project 1st Webinar June 11, 2013
  • 15. Cassandra platform Christos Diou Postdoctoral Researcher Information Technologies Institute (CERTH-ITI)
  • 16. Cassandra platform – Christos Diou Outline • Library-based scenarios in the alpha platform version – Use pre-existing library components • Measurement-based scenarios – Model training to build models automatically • Response models – Consumer response to different incentives • Consumer Social Network analysis – Grouping of small-scale consumers into Consumer Social Networks • Development status and next steps • NoI members and the platform Cassandra 1st Webinar 16
  • 17. Cassandra platform – Christos Diou About the platform • Currently in alpha version, development is highly active – Some functionality has not been integrated yet • Open source platform, publicly available through GitHub – Apache license • Your feedback is highly appreciated! Cassandra 1st Webinar 17
  • 18. LIBRARY-BASED SCENARIOS Cassandra platform – Alpha version Cassandra 1st Webinar 18
  • 19. Cassandra platform – Christos Diou Login screen Cassandra 1st Webinar 19
  • 20. Cassandra platform – Christos Diou Main screen Cassandra 1st Webinar 20 Projects and entities Main panel Libraries
  • 21. Cassandra platform – Christos Diou List of projects Cassandra 1st Webinar 21
  • 22. Cassandra platform – Christos Diou User library Cassandra 1st Webinar 22
  • 23. Cassandra platform – Christos Diou Cassandra library Cassandra 1st Webinar 23
  • 24. Cassandra platform – Christos Diou Appliances in Cassandra library Cassandra 1st Webinar 24
  • 25. Cassandra platform – Christos Diou Creating a new project Cassandra 1st Webinar 25
  • 26. Cassandra platform – Christos Diou Adding a new scenario to our project Cassandra 1st Webinar 26
  • 27. Cassandra platform – Christos Diou In this case, Installations are added by drag n’ drop from the user library Cassandra 1st Webinar 27
  • 28. Cassandra platform – Christos Diou Persons, Activities and Appliances Cassandra 1st Webinar 28
  • 29. Cassandra platform – Christos Diou Activity models Cassandra 1st Webinar 29
  • 30. Cassandra platform – Christos Diou Activity models (duration) Cassandra 1st Webinar 30
  • 31. Cassandra platform – Christos Diou Activity models (start time) Cassandra 1st Webinar 31
  • 32. Cassandra platform – Christos Diou Simulation parameters Cassandra 1st Webinar 32
  • 33. Cassandra platform – Christos Diou Submit runs Cassandra 1st Webinar 33
  • 34. Cassandra platform – Christos Diou What if… • The residents of Apartment 1 use the water heater less – Because they have installed solar water heating • The residents of Apartment 2 use their air conditioning unit less – Because they have upgraded their apartment’s thermal insulation properties • The residents of Apartment 3 replace their refrigeration unit Cassandra 1st Webinar 34
  • 35. Cassandra platform – Christos Diou Behaviour change in Apartment 1 Cassandra 1st Webinar 35
  • 36. Cassandra platform – Christos Diou Behaviour change in Apartment 1 Cassandra 1st Webinar 36
  • 37. Cassandra platform – Christos Diou Behaviour change in Apartment 2 Cassandra 1st Webinar 37
  • 38. Cassandra platform – Christos Diou Behaviour change in Apartment 2 Cassandra 1st Webinar 38
  • 39. Cassandra platform – Christos Diou Appliance change in Apartment 3 Cassandra 1st Webinar 39
  • 40. Cassandra platform – Christos Diou Appliance change in Apartment 3 Cassandra 1st Webinar 40
  • 41. Cassandra platform – Christos Diou Submit new runs with same parameters Cassandra 1st Webinar 41
  • 42. Cassandra platform – Christos Diou Compare the runs (graph) Cassandra 1st Webinar 42
  • 43. Cassandra platform – Christos Diou Compare the runs (KPIs) Cassandra 1st Webinar 43
  • 44. Cassandra platform – Christos Diou One step further • Library-based scenarios can be used to simulate working hypotheses • The real power of Cassandra is in its disaggregation and model training functionality Cassandra 1st Webinar 44
  • 45. MODEL TRAINING Cassandra platform – Alpha version Cassandra 1st Webinar 45
  • 46. Cassandra platform – Christos Diou Training module (to be integrated) Cassandra 1st Webinar 46
  • 47. Cassandra platform – Christos Diou Import installation measurements Cassandra 1st Webinar 47
  • 48. Cassandra platform – Christos Diou Import installation measurements Cassandra 1st Webinar 48
  • 49. Cassandra platform – Christos Diou Next step: Disaggregation Cassandra 1st Webinar 49
  • 50. Cassandra platform – Christos Diou Training consumer activity models Cassandra 1st Webinar 50
  • 51. Cassandra platform – Christos Diou Training consumer activity models Cassandra 1st Webinar 51
  • 52. Cassandra platform – Christos Diou Export the models to the platform libraries Cassandra 1st Webinar 52
  • 53. Cassandra platform – Christos Diou Models are visible in the user library Cassandra 1st Webinar 53
  • 54. CONSUMER RESPONSE Cassandra platform – Alpha version Cassandra 1st Webinar 54
  • 55. Cassandra platform – Christos Diou Response models Cassandra 1st Webinar 55
  • 56. Cassandra platform – Christos Diou Modify pricing scheme Cassandra 1st Webinar 56
  • 57. Cassandra platform – Christos Diou Estimate consumer response Cassandra 1st Webinar 57
  • 58. Cassandra platform – Christos Diou Models are posted to the platform Cassandra 1st Webinar 58
  • 59. Cassandra platform – Christos Diou Models are posted to the platform Cassandra 1st Webinar 59
  • 60. Cassandra platform – Christos Diou Example 1: Response from Cassandra 1st Webinar 60
  • 61. Cassandra platform – Christos Diou from … to: Cassandra 1st Webinar 61
  • 62. Cassandra platform – Christos Diou Example 2: Response from Cassandra 1st Webinar 62
  • 63. Cassandra platform – Christos Diou from … to: Cassandra 1st Webinar 63
  • 64. CONSUMER SOCIAL NETWORKS (CSN) Cassandra platform – Alpha version Cassandra 1st Webinar 66
  • 65. Cassandra platform – Christos Diou CSNs • Groups of similar consumers – Multiple similarity criteria • CSNs have potential: – Increased market power of aggregated small-scale consumers – Coordination of consumption activities at group level – Targeted incentives at group level
  • 66. Cassandra platform – Christos Diou CSN module • CSN module: A tool for identifying links and grouping of consumers in a meaningful way – Existing social network connections – Explicit attributes (e.g. working, non-working person, locality in the grid topology) – Implicit attributes (e.g. consumption similarity, peak similarity, behavioural similarity) • Early version implemented for experimentation • Next version: – More similarity criteria – Estimation of group response to incentives – GUI integration Cassandra 1st Webinar 68
  • 67. The main graphical interface of the CSN module
  • 68. The network can be created based on Installation Type, Person Type, Average, Peak, Similar, or Dissimilar Consumption, etc.
  • 69. CSNetwork based on person type. Persons of the same type are linked.
  • 70. By changing the visualization layout algorithm….
  • 71. The two different person types appear Visualization is Important!!!
  • 72. A new network based on Peak Consumption similarity
  • 73. We select the clustering algorithm to use
  • 74. Clusters appear in different colours
  • 77. Another network based on similar consumption
  • 78. Change the edge threshold via the appropriate slider
  • 79. Select a clustering algorithm
  • 80. Clusters appear in different colors
  • 81. Various statistics are available, as well as the consumption and information of selected nodes Sliders for minimum edge weight and clustering values
  • 82. Cassandra platform – Christos Diou In summary, with Cassandra you can • Simulate working scenarios/pilots • Benchmark different energy efficiency solutions/products in simulation before testing them in real-life • Create detailed models that describe consumer behaviour • Identify and evaluate optimal consumption schedules • Estimate consumer response to a range of incentives – Pricing schemes – Consumer awareness – Environmental impact • Identify meaningful consumer groups and benchmark the application of targeted incentives
  • 83. Cassandra platform – Christos Diou So, what’s next? • Beta release is planned for October, 2013 • Integration of external modules with the platform • Evaluation of Cassandra in our three project pilot cases • Evaluation of Cassandra in a limited number of NoI pilots (external evaluation) • We can use Cassandra to simulate your context and benchmark a number of working scenarios. – Use measurements and the training module to model your context – Simulate a range of scenarios appropriate for your business case – Prepare an analysis/report of our findings – Ask for your feedback – Improve the platform based on your comments
  • 84. Cassandra platform – Christos Diou Thank you! Questions?