Per Sieverts Nielsen

Orcid: 0000-0003-4090-7400

According to our database1, Per Sieverts Nielsen authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2023
Framing barriers for distribution grid digitalisation: A conceptual framework for policy recommendation.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2023

Understanding crowd energy consumption behaviors.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2021
Smart Meter Data Anomaly Detection Using Variational Recurrent Autoencoders with Attention.
Proceedings of the Intelligent Technologies and Applications, 2021

2020
SEGSys: A mapping system for segmentation analysis in energy.
CoRR, 2020

A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Two approaches for synthesizing scalable residential energy consumption data.
Future Gener. Comput. Syst., 2019

Data Pre-processing Techniques in the Regional Emission's Load Profiles Case.
Proceedings of the 6th International Conference on Control, 2019

SmartM: A Non-intrusive Load Monitoring Platform.
Proceedings of the Business Information Systems Workshops, 2019

2018
Scalable prediction-based online anomaly detection for smart meter data.
Inf. Syst., 2018

2017
CITIESData: a smart city data management framework.
Knowl. Inf. Syst., 2017

SciCloud: A Scientific Cloud and Management Platform for Smart City Data.
Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017

Air Quality Monitoring System and Benchmarking.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016
Optimizing ETL by a Two-Level Data Staging Method.
Int. J. Data Warehous. Min., 2016

A Hybrid ICT-Solution for Smart Meter Data Analytics.
CoRR, 2016

Regression-based Online Anomaly Detection for Smart Grid Data.
CoRR, 2016

Online Anomaly Energy Consumption Detection Using Lambda Architecture.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016


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