Combining Machine Learning Analysis and Incentive-Based Genetic Algorithms to Optimise Energy District Renewable Self-Consumption in Demand-Response Programs (2020)
In this paper, we propose a methodology that combines machine learning with multi-objective optimization to accurately plan the exploitation of the energy district’s flexibility with the objective of reducing peak consumption and avoiding reverse power flow.
Blockchain based Decentralized Applications: Technology Review and Development Guidelines (2020)
Our study reviews over 100 blockchain papers and startup initiatives from which we construct a 3-tier based architecture for decentralized applications and we use it to systematically classify the technology solutions.
Energy Flexibility Prediction for Data Center Engagement in Demand Response Programs (2020)
In this paper, we address the problem of the efficient and sustainable operation of data centers (DCs) from the perspective of their optimal integration with the local energy grid through active participation in demand response (DR) programs.
Blockchain-Based Scalable and Tamper-Evident Solution for Registering Energy Data (2019)
An open issue that slows the adoption of blockchain technology in the energy sector is the low scalability and high processing overhead when dealing with the real-time energy data collected by smart energy meters. Thus, in this paper, we propose a scalable second tier solution which combines the…
A real-life experience on 2nd life batteries services for Distribution System Operator (2019)
This paper proposes an innovative use of the 2nd life Li-ion batteries, enabling “Storage as a service” for enhancing distribution network operations. Test results have shown that 2 nd life Li-ion batteries are suitable for some services and their usage in the power distribution network is promising for…
A multipurpose ICT platform for supporting energy transition: first results in flexibility profiling (2019)
In this paper an innovative, multi-purpose and open source platform called FUSE is presented. The platform design has been conceived taking into account the most relevant needs and requirements from the ongoing modernization of distribution systems.
Evaluating Forecasting Techniques for Integrating Household Energy Prosumers into Smart Grids (2018)
This paper tackles the problem of integrating household energy prosumers in Smart Energy Grids by analyzing a set of state-of-the-art energy forecasting techniques that allow individual or aggregated prosumers to evaluate their future energy demand and inform the DSO about potential grid imbalances.
Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids (2018)
In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.)
Decentralized blockchain flexibility system for Smart Grids Requirements engineering and use cases (2018)
In this paper, we present results from the ongoing project eDREAM (enabling new Demand REsponse Advanced, Market oriented and Secure technologies, solutions and business models) with some extent on requirements and use cases related a decentralized flexibility system based on ledger technologies.
Enabling New Tehnologies for Demand Response Descentralized Validation using Blockchain (2018)
In this paper we will present a robust, democratic and scalable demand response framework which will feature a blockchain based near-real time closed-loop DR validation, fully autonomous, secured and decentralized. This will enact each prosumer with the possibility to verify the authenticity and integrity of all DR events and bid notifications.