5 citations · 8 across the 4 of their papers we have counts for
5 papers
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers
Arvid Weyrauch, Thomas Steens, Oskar Taubert +6
Transformers have recently gained prominence in long time series forecasting by elevating accuracies in a variety of use cases. Regrettably, in the race for better predictive perfo…
Simultaneous optimisation of temperature and energy in linear energy system models
Patrik Schönfeldt, Adrian Grimm, Bhawana Neupane +6
Linear programming is used as a standard tool for optimising unit commitment or power flows in energy supply systems. For heat supply systems, however, it faces a relevant limitati…
A Non-Intrusive Load Monitoring Approach for Very Short Term Power Predictions in Commercial Buildings
Karoline Brucke, Stefan Arens, Jan-Simon Telle +4
This paper presents a new algorithm to extract device profiles fully unsupervised from three phases reactive and active aggregate power measurements. The extracted device profiles…
A Forecast Based Load Management Approach For Commercial Buildings -- Comparing LSTM And Standardized Load Profile Techniques
Thomas Steens, Jan-Simon Telle, Benedikt Hanke +5
Load-forecasting problems have already been widely addressed with different approaches, granularities and objectives. Recent studies focus not only on deep learning methods but als…
Particle Swarm Optimization for Energy Disaggregation in Industrial and Commercial Buildings
Karoline Brucke, Stefan Arens, Jan-Simon Telle +4
This paper provides a formalization of the energy disaggregation problem for particle swarm optimization and shows the successful application of particle swarm optimization for dis…