International implementations of demand response management and energy efficiency programmes that have the aim to reduce energy consumption. Cutting edge projects that analyze data in innovative ways will present their results.
The Power of Data Analytics to Drive the Evolution of a Smart City
After rigorous work on data integration, the team is now using new approaches to reveal insights from their resulting Big Data. These insights influence all use cases across the breadth of the ASCR, but mostly in smart ICT and LV grid control, driving at operational and strategic grid planning and near real-time management.
Smart ICT use case including operational and strategic grid planning and grid load forecasting. The district is able to achieve greater accuracy in forecasting which reduces total costs and environmental impacts. The district benefits from a feedback loop whereby they are able to quickly analyze the efficiency of their optimization strategies with a view to continuous improvement.
LV grid control use case including LV grid management and smart meters for grid monitoring. The district is able to consider how they can shift from “passive” grid optimization by analyzing events and effects, to “active” grid optimization and grid management. This will extend to distributed intelligence based on distributed devices (field-tested prototypes).
Are We Nearly There Yet? Improving (and shortening) The Customer Journey Toward Energy Efficiency
Detail the opportunity to improve consumer chances to buy energy efficient products as a focus of consumer behaviour change, and the benefits this delivers to utilities. Will present new research that has been run on Marketplace to refine intervention strategies, with real results from utilities.
The importance of applying behavioural science to a ‘one time intervention’, in order to deliver consumer behaviour change regarding energy efficiency
The importance of developing the ability - and willingness - to run agile experiments to better focus interventions for consumer behaviour change.
A New Business Model Based on Renewables Output Forecasting, Driven by Deep Analytics and Accurate Weather Data
Decentralised generation causes increasing unpredictability in loads on the electrical system
This requires ever improving Power (Wind, Solar) output forecasting
With the weather prediction accuracy of IBM's Weather Company combined with the power of deep analytics, Vandebron and IBM have gained experience in how to significantly improve forecasting the power output of Vandebron's connected Wind Farms.