Browsing by Author "Coma Puig, Bernat"
Now showing items 1-10 of 10
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A case study of improving a non-technical losses detection system through explainability
(Springer Nature, 2023-01-01)
Article
Open AccessDetecting and reacting to non-technical losses (NTL) is a fundamental activity that energy providers need to face in their daily routines. This is known to be challenging since the phenomenon of NTL is multi-factored, ... -
A human-in-the-loop approach based on explainability to improve NTL detection
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessImplementing systems based on Machine Learning to detect fraud and other Non-Technical Losses (NTL) is challenging: the data available is biased, and the algorithms currently used are black-boxes that cannot be either ... -
A quality control method for fraud detection on utility customers without an active contract
(Association for Computing Machinery (ACM), 2018)
Conference report
Open AccessFraud detection in energy consumption has proven to be a difficult problem for current techniques. In general, the approaches used in this area are restricted to compute a fraud score for each client based on its behaviour. ... -
Bridging the gap between energy consumption and distribution through non-technical loss detection
(2019-05-01)
Article
Open AccessThe application of Artificial Intelligence techniques in industry equips companies with new essential tools to improve their principal processes. This is especially true for energy companies, as they have the opportunity, ... -
Collaborative Filtering Ensemble for Personalized Name Recommendation
(Universitat Politècnica de Catalunya / Leibniz Universität Hannover, 2013)
Master thesis (pre-Bologna period)
Open Access
Covenantee: Leibniz Universität HannoverOut of thousands of names to choose from, picking the right one for your child is a daunting task. In this thesis, our objective is to help parents make an informed decision while choosing a name for their baby. To this ... -
Explainable predictive process monitoring
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessPredictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes. This paper tackles the fundamental problem of equipping predictive business ... -
Fraud detection in energy consumption: a supervised approach
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference lecture
Open AccessData from utility meters (gas, electricity, water) is a rich source of information for distribution companies, beyond billing. In this paper we present a supervised technique, which primarily but not only feeds on meter ... -
Human-aware application of data science techniques
(Universitat Politècnica de Catalunya, 2022-03-02)
Doctoral thesis
Open AccessIn recent years there has been an increase in the use of artificial intelligence and other data-based techniques to automate decision-making in companies, and discover new knowledge in research. In many cases, all this has ... -
Knowledge-based segmentation to improve accuracy and explainability in non-technical losses detection
(2020-10-30)
Article
Open AccessUtility companies have a great interest in identifying energy losses. Here, we focus on Non-Technical Losses (NTL), which refer to losses caused by utility theft or meter errors. Typically, utility companies resort to ... -
Non-technical losses detection in energy consumption focusing on energy recovery and explainability
(2021-09-29)
Article
Open AccessNon-technical losses (NTL) is a problem that many utility companies try to solve, often using black-box supervised classifcation algorithms. In general, this approach achieves good results. However, in practice, NTL detection ...
