Thesis Topics for Bachelor and Master Students
Deep Neural Networks for Appliance Detection The objective of this thesis will be to explore the applicability of deep neural networks as appliance detectors. The student will be provided with training data, which includes the energy consumption of typical household appliances over the time span of one year. By using the data, the student will first label the data, train the DNNs and evaluate their performance. Depending on the thesis type, the student will have to compare the performance to another appliance detector. The selected approach will be implemented in Python or C++. Contact: Christoph.Klemenjak@aau.at Type: Scalable to all thesis types Supervised learning techniques for Energy Advisors Energy Advisors such as Mjölnir provide valuable feedback to the user. The feedback builds on gathered knowledge and observations of the energy consumption in households. The objective of this thesis will be: Review applicable supervised machine learning techniques and...