• What are the privacy concerns?  
• DPA and processing personal data 
• Access to smart metering data and security

• Good practice guidelines for industry
• Latest regulatory proposals on data access and use at GB and EU level
• Monitoring rollout – update on consumer feedback/views on privacy and security

• What are the types of instrumentation being installed and which parameters are being collected?
• How much data can a substation provide?
• How are network operators collecting this data?
• Where and how could the data be stored?
• How can the data be retrieved and displayed?

• US smart grid policies, regulatory framework and challenges
• NIST coordination of smart grid interoperability standards development
• Smart Grid Interoperability Panel and international engagement
• Smart meter and energy usage information standardization
• Data access to consumers, including privacy and security
•  “Green Button” customer energy usage information initiative

• The role of smart meters in a smart grid
• Turning smart metering data into network information
• Supporting low carbon transition
• Improving customer service
• Implications for  data protection, privacy and security
• Anticipated network efficiency and performance benefits

• A joined up view of national data initiatives
• Current status of the smart meter privacy debate
• A system view of data from the meter points
• Consumer use of system data

• Importance of energy to our economic life
• The global context
• The GB Context
• An export opportunity
• Next Steps

• Overview of existing projects and the data that has been retrieved
• Making use of smart grid data
• The advantages and implications of having this grid data

• The challenge of operating a distribution grid closer to Its capacity limit.
• Load-flow calculation/estimation can be the way to get the good insights of the grid loading. The downside is tough requirements to information management, though.
• The Smart Grid forerunner proof-of concept project at DONG Energy.
• The experience so far seen from an information perspective.
• Looking forward.

• Scalability
• Event management
• Architecture, what to do centrally and what decentralized

• What do we exactly mean with OT and IT
• Different view angles of OT and IT on Smart Grid development
• A few examples of data and information management from the different perspectives
• Bridging the gap: what is really necessary

• Drivers for a change of todays netework
• Implementation of smart grid solutions
• Further steps to a smart grid

• Why do we want to retrieve data from the low voltage grid?
• What kind of data needs to be retrieved
• How do we retrieve this data?
• How do we process this data (into intelligence)
• How can we control this with intelligent data?

• Importance of improving efficiency in the energy system
• Potential focus areas to improve
• Learnings that can be achieved from existing data
• Opportunities for improvements in the future