A demand-response feedback program for real time consumption monitoring and targeted advice

This thesis presents a demand-response feedback program for Real time Consumption monitoring and targeted advice. In order to improve energy efficiency, this Cassandra project is introduced. The aim is to providing shop owners with consumption feedback and targeted advice, and evaluate their impact on electricity overall consumption. The group of Professor Luca Ferrarini, Giancarlo Mantovani, Alessio Dedè and Julián Peña Flórez developed this Cassandra project, and I was lucky to be a member of this group in a period of time, mainly doing the part of mobile interface. The basic concept is that the platform is implemented as a Java Web Service running under Apache Tomcat v7.0, installed in a server accessible to Cassandra API, connecting shop owners with this project. In this way, the users can be informed about their energy use situation and get feedback and advice about how to reduce their energy consumption. In the end, we come to the conclusion that with this Cassandra project, the energy consumption is reduced and the efficiency is improved. There are further works can be done in the future, such like studying different control strategies for energy optimization and comfort regulations for the commercial building, which will be in the next phase of this project.