most citedOptimal Water Heater Control in Smart Home Environments

18 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2019

A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts

Michael Koller, Johannes Feldmaier, Klaus Diepold

This report first provides a brief overview of a number of supervised learning algorithms for regression tasks. Among those are neural networks, regression trees, and the recently…

cs.HC2016★ 11 cited

Evaluation of a RGB-LED-based Emotion Display for Affective Agents

Johannes Feldmaier, Tamara Marmat, Johannes Kuhn +1

Technology has become an essential part in every aspect of our lives. However the key to a successful implementation of a technology depends on the acceptance by the general public…

cs.AI2016★ 12 cited

Reinforcement Learning in Conflicting Environments for Autonomous Vehicles

Dominik Meyer, Johannes Feldmaier, Hao Shen

In this work, we investigate the application of Reinforcement Learning to two well known decision dilemmas, namely Newcomb's Problem and Prisoner's Dilemma. These problems are exem…

eess.SY2016★ 18 cited

Optimal Water Heater Control in Smart Home Environments

Christoph Passenberg, Dominik Meyer, Johannes Feldmaier +1

In this work, we develop an optimal water heater control method for a smart home environment. It is important to notice that unlike battery storage systems, energy flow in a water…

eess.SY2016

Monitoring and Prediction in Smart Energy Systems via Multi-timescale Nexting

Johannes Feldmaier, Dominik Meyer, Hao Shen +1

Reliable prediction of system status is a highly demanded functionality of smart energy systems, which can enable users or human operators to react quickly to potential future syst…