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A flask application to perform SPARQL queries on buildings brick schema

License: MIT License

Python 0.11% CSS 0.36% HTML 43.98% Shell 0.03% JavaScript 55.48% Dockerfile 0.04%
app brick buildings flask ontology python

brick-query-ui's Introduction

Hi, I'm Roberto

I am an Energy and Nuclear Engineer, PhD Student at BAEDA Lab at the Department of Energy of Politecnico di Torino.

I am actually involved in projects dealing with advanced data analytics of building energy data through Artifical Intelligence algorithms. My main focus is the creation and implementation of Automated Anomaly Detection and Diagnosis methods on buildings energy data.

Check my Publications

Chiosa, R., Piscitelli, M. S., Fan, C., & Capozzoli, A. (2022). Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries. Energy and Buildings, 270, 112302. https://doi.org/10.1016/j.enbuild.2022.112302.

C Fan; Y Lei; Y Sun; MS Piscitelli; R Chiosa; A Capozzoli; Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context. Energy, 122775, 2021 https://doi.org/10.1016/j.energy.2021.122775

Chiosa, R.; Piscitelli, M.S.; Capozzoli, A. A Data Analytics-Based Energy Information System (EIS) Tool to Perform Meter-Level Anomaly Detection and Diagnosis in Buildings. Energies 2021, 14, 237. https://doi.org/10.3390/en14010237



Roberto Chiosa | Github Roberto Chiosa | LinkedIn Roberto Chiosa | Research Gate Roberto Chiosa | Research Gate Roberto Chiosa | Gmail Roberto Chiosa | Medium

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