Search Results - "Rumsch, Andreas"
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Review on Deep Neural Networks Applied to Low-Frequency NILM
Published in Energies (Basel) (01-05-2021)“…This paper reviews non-intrusive load monitoring (NILM) approaches that employ deep neural networks to disaggregate appliances from low frequency data, i.e.,…”
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Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations
Published in Energies (Basel) (15-10-2020)“…Grid-connected photovoltaic (PV) capacity is increasing and is currently estimated to account for 3.0% of worldwide energy generation. One strategy to balance…”
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Residential Power Traces for Five Houses: The iHomeLab RAPT Dataset
Published in Data (Basel) (01-03-2020)“…Datasets with measurements of both solar electricity production and domestic electricity consumption separated into the major loads are interesting for…”
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Prediction of domestic appliances usage based on electrical consumption
Published in Energy Informatics (10-10-2018)“…Forecasting or modeling the on-off times of domestic appliances has gained increasing attention in recent years. However, comparing currently published results…”
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The ‘SmartNIALMeter’ electrical appliance disaggregation dataset
Published in Data in brief (01-10-2024)“…Electrical disaggregation, also known as non-intrusive load monitoring (NILM) or non-intrusive appliance load monitoring (NIALM), attempts to recognize the…”
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SINA - Smart Interoperability Architecture An architecture fostering the interoperability between smart building technology from different manufacturers and smart grid infrastructure to enable new business models for energy services
Published 13-08-2021“…More and more household appliances connect to the Internet and exchange data freely. This is the foundation for true smart buildings. However, there is still…”
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Poster abstract: Is the run-time of domestic appliances predictable?
Published in Computer science (Berlin, Germany) (01-02-2018)“…Run-time forecasting or modeling of domestic appliances has gained more attention in recent years. Comparing currently published works though is difficult due…”
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Improving the Recognition Performance of NIALM Algorithms through Technical Labeling
Published in 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing (01-08-2014)“…A myriad of different electrical devices populate a typical household nowadays. Non-intrusive appliance load monitoring (NIALM) is an approach to find out how…”
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Conference Proceeding -
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Spatial services for decentralised smart green energy management
Published in 2018 IEEE International Energy Conference (ENERGYCON) (01-06-2018)“…In neighbourhoods, the number of energy generators are growing. A main reason for this being the rise in people's energy needs and the possibility of local…”
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Conference Proceeding