The IMPReSS project is a 30-months EU-Brazil cooperative research project started in 2013.
The project is partly funded by the European Commission under the 7th Framework Programme in the area of EU-Brazil Research and Development cooperation under Grant Agreement no. 614100
Recently the increase of energy consumption has leveraged the development of solutions to save electricity. One of these solutions has been the creation of energy-saving policies based on energy forecasting in smart environments. The main idea behind this solution is that the residences are instrumented with sensor and actuator networks in order to monitor and manage energy consumption. This paper presents an analysis of global energy consumption forecasting in homes with aggregated and disaggregated databases and to achieve this goal some standard regression algorithms from the literature were used. It was observed that these type of algorithms are more effective when applied in disaggregated databases. The results with data collected from a real environment showed that the proposed approach is able to reduce the Root Mean Square Error (RMSE) up to 80%, compared to the global energy forecasting approach that uses aggregated databases.
The paper will be included in the ISCC 2016 Conference Proceedings which will be reviewed by independent IEEE reviewers for quality and may be eligible for inclusion in the IEEE Xplore® Digital Library. Click here for more information on the ISCC 2016 conference.
Design: In-JeT ApS based on a theme from BrightSide 2.0 by Harly
Impressum 
Posted by 