Optimizing Room Climates by Climate Data Forecasting
We are happy to announce the Winners of the Gecco 2013 Industrial Challenge:
- Farzad Noorian(University Of Sydney)
- Gabriel Kronberger and Michael Kommenda(University of Applied Sciences Upper Austria)
- Rommel Vergara(University Of Sydney)
Further details on the results, evaluation and testdata can be found here.
- The slot for Industrial Challenge result presentations at GECCO 2013 has been reserved:
Tuesday 9th, 12.30 pm to 13.30 pm. (Room Auditorium)
We are looking forward to meeting you in Amsterdam!
Please see this website and the official GECCO program for program changes and updates.
- The Resource Package, containing the required datasets, software, and the official rules and regulations is now available for download.
- The competitor with the best prediction is rewarded with an iPad, which is kindly sponsored by GreenPocket.
When the words health, wellness and cost reduction go hand in hand, the topic is probably “smart home”. The human feeling of warmth is determined by the surrounding temperature as much as by the humidity. At a humidity of about 60 percent, most people already feel comfortable warmth at 20°C. In contrast to this, a temperature of 23°C is needed for the same feeling of warmth at 30 percent humidity. A room climate with low humidity generated by strong heating encourages coughs and sneezes whereas a humidity of 60 percent or higher in combination with sparse ventilation eases the formation of mold. Furthermore, it is a matter of fact that each degree Celsius less heating shaves 6 percent off heating costs.
Smart home equipment records room climate data every time a value changes and checks the weather forecast at regular intervals to gain additional knowledge. The data collected can be correlated and analyzed to discover the particular heating properties of the room, the influence of the weather on the room climate and user specific patterns and preferences. This knowledge can be used to safe heating energy by only consuming energy that is really needed. Goal of the GECCO 2013 Industrial Challenge is to develop accurate forecasting methods for room climate profiles. Accurate forecasts build a sound basis for intelligent heating control. This reduces energy consumption and still provides a comforting and healthy room climate.
Highlights of the GECCO 2013 Industrial Challenge include:
- Interesting Problem Domain: Forecasting room climate data based on smart home and ambient temperature data offers a challenging test case for modern time series prediction methods.
- Real-world Data: Real room climate time series, irregularly recorded when values change, are provided for training, testing, and assessing forecasting methods.
- Direct Link to Industry: GreenPocket GmbH will evaluate the winning submissions for real-world application and will be in direct contact with the winning participants, who will keep all rights to their forecasting systems.
GreenPocket provides pioneering software for smart metering and smart home solutions. Combining the best of the Internet with the new world of smart energy, GreenPocket enables utility companies to significantly increase their customer’s energy efficiency. Founded 2009, GreenPocket is Germany’s leading software provider for consumer-orientated smart energy software.
Downloads and Submission
- Download the Call for Participation in PDF format.
- Download the GECCO 2013 IC Resource Package, containing the required datasets, software, and the official rules and regulations in
ZIP format. Please see the file README.txt for further instructions.
- Submission Closed
Important Dates and Contacts
- Software and Data Availability: April 01, 2013
- Challenge Submission Deadline: May 31, 2013
- GECCO-2013 Conference: July 06-10, 2013
- Contact: gecco at f10.fh-koeln.de
Organizing Committee and Sponsors
- Martina Friese, Cologne University of Applied Sciences
- Oliver Flasch, Cologne University of Applied Sciences
- Olaf Mersmann, Cologne University of Applied Sciences
- Thomas Bartz-Beielstein, Cologne University of Applied Sciences
- Jens Neuhalfen, GreenPocket GmbH
GECCO is sponsored by the Association for Computing Machinery Special Interest Group for Genetic and Evolutionary Computation (ACM SIGEVO). Title picture copyright by Jaap Steinvoorte (Creative Commons Attribution 2.5 Generic).