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The aim of the project was to create a master application for some specific device, enabling cross-sectional and comparative analysis of data coming from many buildings.
Application EFFECT, which main functionalities are: management, database replication, data analysis, and presentation of the results on dashboards and reports. The analytical algorithms use Machine Learning to detect anomalies and patterns. The user gets a tool that detects anomalies taking account of data gathered from numerous objects. The application can be installed in the local network, remote server, or in the cloud.
Technologies used in this project
.Net
C++
InfluxDB
Kapacitor with Python algorithms
Grafana
energy audits, property managers, manufacturing plants
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