In the reporting period, WP1 activities led to the release of D1.1 and D1.2 reporting the detailed task timing, the quality plan for internal communication, documentation, and software, together with the list and evaluation of the identified risks, and D1.4 and D1.5 including the dataset reference.
In WP2, D2.1 defines the first version of the business and user requirements; D2.2 defines the first version of the application scenarios and use cases; D2.3 defines the eDREAM multi-purpose vocabulary, corresponding data models to provide solution interoperability, and the regulatory requirements to introduce the aerial survey techniques as well as the blockchain technologies; D2.4 and its update D2.5 define the eDREAM platform architecture;
WP3 defined prediction models for forecasting the consumption, production and flexibility of distributed energy prosumers considering various time frames and granularities( D3.1). A first version of the forecasting tool has been implemented too; The applicability of different techniques for baseline energy calculation has been assessed (D3.2); we have defined models and techniques for enacting the dynamic construction of coalitions of prosumers in VPP to provide different type of services in an optimal manner by the VPP and proposed a hybrid optimization technique which combines the gradient-based solutions with nature-inspired heuristics for achieving fully distributed platform for creation of prosumers coalition and targeting to implement it over blockchain based distributed computing platforms (D3.3). A first prototype of the dynamic VPP coalition SW component has been implemented. We have investigated the drone based aerial survey in regards to the assessment of DR potential using fusion image processing techniques (D3.4) technical specifications and requirements regarding the hardware and software were also addressed.
In WP4, the identified DR optimization mechanisms to be developed were described ( D4.1); the big data layer architecture has been defined, together with the definition of the Load Profiling, Big Data Clustering at Multiple Scale, and Customer Segmentation SW components(D4.2); the first mockups and prototypes for enhanced user interactions have been implemented (D4.4) and the multi-objective DR optimization technique has been defined(D4.3).
In WP5, we defined blockchain based storage solutions for energy data, two different approaches were investigated exploiting BigChainDB and off-chain data storage respectively. The first prototypes of both the approaches were implemented following the requirements gathered in WP2 activities( D5.1) one of these will be demonstrated during the review. The applicability of self-enforcing smart contracts to the flexibility services was analyzed , implementing the first prototype for both flexibility and the energy markets (D5.2). Moreover, Initial studies about Proof-of-Stake and Proof-of-Authority algorithms and dynamic incentive models have been performed.
WP6 focus was on the definition of the integration plan and the analysis of tools and technologies to put it in place in order to provide a comprehensive and integrated functional framework. The guidelines for the integration were released(D6.1). In WP7, we have defined the methodology for eDREAM evaluation and validation (D7.1).
Finally, the work done in WP8 was focused on establish a communication and dissemination plan and create awareness and interest from the targeted stakeholders( D8.1). We created and managed the project website(D8.2) LinkedIn and Twitter profiles. Partners participated to Conferences and workshops, in order to disseminate the project outcomes (D8.3); The first version of the project Exploitation and IPR Protection Plan was realized (D8.4).
