Results

The goal of this report is to present the SENDER architecture solution as a whole. An standardized architecture of the SENDER solution is described based on SGAM model. It presents 3 main lawyers with the different systems that interact in the solution to provide flexibility and demand/response solutions to the consumers in order to improve the consumer engagement in these new practices.

The summarized picture reflects the main services and technologies applied in SENDER solution, such as Peer-to-Peer trading, DIGITAL TWIN, Flexibility and Demand/Response.

This report defines a set of consumer engagement strategies divided into three phases: (1) Recruitment, (2) Consumer Response and (3) Persistance to be used as guidelines for the project pilots to follow in order to successfully reach and retain consumers throughout the implementation of SENDER solutions (home automation, convenience, security, etc.). Consumer engagement is one of the main issues to be addressed to develop effective demand response mechanisms. Thus, having strong and tailored actions will help mitigate the risk of acceptance and drop-out.

The goal of this report is to provide the results of a Security and Privacy management practice within SENDER project, and more concretely, in the 3 pilots ecosystems (Austria, Finland and Spain). Security and privacy are transversal, cross-cutting issues in any ecosystem. In this document, it is shown a methodology to follow and address the management of privacy and security in ecosystems.

Energy demand and supply forecasting is an essential tool for effective implementation of a Demand Response system and home automation. A forecasting system has therefore been developed for the electrical loads of households and distributed generation from renewable sources, typically photovoltaic systems. 

The service is available to project partners and end users, so it was necessary to define fruition modes that can be both automatically interpreted by computer systems and directly accessed by users for consumer engagement. 

These two communication channels are realized through an Application Programming Interface (API), which returns forecast model results in a format that can be easily interpreted by a computer, and by forecast visualization tools that can be easily interpreted by humans. 

This deliverable provides a detailed description of the API and visualization tool, describes their use, and provides examples of their use. 

The service interface is described in Deliverable 6.1. This paper describes the methods adopted for the service and discusses a preliminary analysis of the accuracy of the results.

The load forecasting algorithm is based on machine learning techniques using each user’s past energy consumption data and weather forecasts, and provides for each individual household a probabilistic forecast of energy demand for the next 48 hours with 5-minute time resolution. it is a probabilistic forecast, so the uncertainty of the forecast at any given time is also quantified.

Similarly, the power supplied by the home PV system is estimated by processing past generation data and weather conditions from three different weather forecast providers using machine learning techniques. 

In this deliverable the SENDER’s front-end application is presented. A state-of-the-art mobile application which enables the users to remotely control home appliances, along with viewing buildings’ sensing characteristics and energy consumption patterns. The mobile app act as an interface that facilitates the interaction of the selected pilots in the SENDER project with the installed IoT equipment in their premise. Thus, the end users don’t interact directly with the hardware infrastructure as they operate their devices through a user-friendly, easy to use and intuitive mobile application.

In addition, the application provides notifications regarding the Demand Response strategies that will take place in their premises, granting them a more active participation in the project and enriching their experience in the DR schemes.
Following, in this deliverable the Flexibility Visualization Tool is also demonstrated. It is a web-application that was designed and developed to visualize the flexibility outputs of the SENDER flexibility providers. This UI application was created to provide an elegant and unified approach of the solutions results to the respective partners.

This report presents the Key Performance Indicators (KPI) that will be used to evaluate the efficiency of the Demand Response solutions implemented in the SENDER demonstration. The document includes a complete list of KPIs and other relevant indicators proposed to assess the use cases (energy solutions) defined by a Co-creation Steering Group to (1) provide flexibility to the grid via explicit demand response, (2) increase self-consumption of prosumers, (3) generate savings in the energy bills, and (4) enable peer-to-peer trading within neighbours. The report also collects indicators for consumer engagement and discusses the barriers, limitations, and results expected from the demonstration, including a benchmark of literature and similar DR campaigns.

In addition, the application provides notifications regarding the Demand Response strategies that will take place in their premises, granting them a more active participation in the project and enriching their experience in the DR schemes.
Following, in this deliverable the Flexibility Visualization Tool is also demonstrated. It is a web-application that was designed and developed to visualize the flexibility outputs of the SENDER flexibility providers. This UI application was created to provide an elegant and unified approach of the solutions results to the respective partners.