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Home » publication » Statistical Monitoring of Injection Moulds

Berjaga, X. ; Meléndez, J. ; Pallares, A. CCIA 2008 .
Sant Martí d’Empúries (ESP) 2008.
Year: 2008

Contact Information

Universitat de Girona
Campus Montilivi
Escola Politècnica Superior (Edifici P4)
Carrer Universitat de Girona, 6
17003 – Girona (Spain)
exit@udg.edu

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eXiT Research group - Control Engineering and Intelligent Systems (IIiA - UdG)

El projecte CLIMA té com a objectiu promoure el desenvolupament de comunitats energètiques com a actors rellevants en la cadena de valor energètica, amb un enfocament en la regió de Girona (Catalunya).<br /><br />Visita la pàgina web 👉 https://clima.udg.edu/

The Energy Forecaster tool provides hourly forecasting of electrical/loads and Photovoltaic/wind generation. Two forecasting horizons are provided: intra-day and day-ahead. Forecasts are based on weather data, characteristics of generation assets, and contextual information. Occupancy also can be considered as an input for forecasting. The application is fully integrable in the Energy Management System.<br /><br />More information: https://elandh2020.eu/ and https://exit.udg.edu/<br /><br />This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 824388

The Optimal Scheduler tool provides an hourly scheduling of storage (when
store or consume) and controllable assets (when switch on/off) in order to maximize the use of renewable energy resources. It is based on the forecast production/consumption in the Local Energy System (LES). The application is fully integrable in the Energy Management System. This tool is part of the E-LAND project.

More information: https://elandh2020.eu/ and https://exit.udg.edu/

This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 824388

A brief introduction to fault detection, location, and diagnosis with Principal Component Analysis (PCA).

Laiz Souto

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