Sensetale for smart energy applications - application development and execution platform

Moving beyond smart metering, smart energy not only aggregates measuring info from the power systems infrastructure but also needs to interact and control it. In addition, the control possibly extends out of the domain of the energy distributor into people's private living sphere, where the diversity of equipment cannot be easily managed and the actions taken by the smart energy platform have a direct consequence on people's sense of comfort and hence their willingness to go along in the smart energy vision. This introduces a whole new set of requirements including latency aspects, data access control, deployment aspects, scalability aspects, complexity of the ecosystem right down to complexity of the value proposition. The presentation will show how the Sensetale platform that was already successfully deployed in the area of intelligent (car) traffic applications and in smart city applications, brings added value to all players in the ecosystem: society as a whole, the device manufacturers, energy distributors, network operators, energy consumers and 3rd party application developers in this vertical domain. Sensetale is an open platform, making it easy to connect existing devices and real-time data streams or add new types of devices such as sensors or actuators. The platform allows to transform, combine and query data and makes the result available as a new data stream on the fly. Control logic can be deployed that uses this data to directly influence external equipment. Transformations can add successive levels of meaning to the incoming data. The platform supports an application ecosystem: catalogs of both device models and data transformations allow reuse of data, meaning and code across applications and domains. The platform is very scalable due to the mashup oriented way of defining and executing transformations and applications. This allows us to distribute both processing power and collected data over all the available processing resources.