Publications
Total and thermal load forecasting in residential communities through probabilistic methods and causal machine learning
The SENDER project is proud to announce the release of a new publication on the prediction of total and thermal loads in residential communities using probabilistic methods and causal machine learning, written by Luca Massidda and Marrocu Marino from CRS4 (Center for Advanced Studies, Research and Development in Sardinia), a…
CIRED2023 publication : An Interoperability-by-Design approach for designing Smart Grid Solutions
Technical Session: 4. Protection, Control & Automation Smart Grid is the vision of modernizing the traditional power system with the extensive use of information and communication infrastructure. This infrastructure is used to implement sophisticated monitoring and control strategies to manage and control the diverse operational and economic systems in various…
The SENDER project: an integrated demand-response platform
Read the fourteenth edition of The Innovation Platform ELECTRICITY consumers in the European Union (EU) suffer from high energy prices and a rampant inflation. Individual action can make an important difference for each household and, according to the European Commission, as much as 83% of all EU households could lower…
Increasing charging energy at highly congested commercial charging sites through charging control with load balancing functionality
It is expected that a notable share of charging sites will face significant congestions in the future, and thus, an effective utilization of the available charging capacity will be highly needed. It has been shown that unbalanced electric vehicle (EV) charging loads may reduce the charging energy, which can lead…
Comparing Optimization Strategies in Local Electricity Markets
Energy communities have emerged as a new way of exploiting and incentivizing local energy production based on local Peer-to-Peer (P2P) trading and battery flexibility. Local electricity markets with storage units can possibly lead to grid upgrades deferral by reducing and controlling peak demand, and achieve higher levels of self-sufficiency. This…
A Comparative Study of Time Series Forecasting of Solar Energy Based on Irradiance Classification
Sustainable energy systems rely on energy yield from renewable resources such as solar radiation and wind, which are typically not on-demand and need to be stored or immediately consumed. Solar irradiance is a highly stochastic phenomenon depending on fluctuating atmospheric conditions, in particular clouds and aerosols. The complexity of weather…
A Social Engagement Fast Track on Energy Communities—Key Lesson Learned from H2020 EU Projects
Energy communities organise collective and citizen-driven energy actions that will help pave the way for a clean energy transition, while moving citizens to the forefront. The energy market is rapidly transforming and so is the role of the consumer. Yesterday’s passive consumers become central actors in today’s energy markets. Today,…