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Confronto tra approccio analitico e simulazioni FEM per il dimensionamento delle reti di terra per sottostazioni
No full textIn questa tesi verrà confrontato l'approccio degli standard IEEE 80-2013 con l'utilizzo di un software agli elementi finiti per il dimensionamento e la verifica della sicurezza delle reti di terra nelle sottostazioni. Verrà considerato un caso studio di una sottostazione in progetto in Costa D'Avorio, esercita alla tensione di 90 kV, verranno simulati diversi scenari tra cui la variazione della resistività del suolo e verranno confrontati vari metodi per raggiungere la sicurezza
"In presenza de' parenti sposò la giovana e con festa la menò a casa e fece onorevili nozze": il matrimonio nella Toscana trecentesca nelle novelle di Franco Sacchetti e Giovanni Sercambi
Get PDFCorporate venture capital, innovation and value creation: insights from a multiple case study
Get PDFInsights on the performance of circular business models: results from a configurational analysis
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Political polarization and social inequalities: an empirical application of Bonica's PAC-Nominate model on the ideology of Congress members in the United States
Get PDFEstrazione automatica di features elettrocardiografiche basata su un modello gaussiano delle tracce
Get PDFAnalysis of efficiency interventions on electricity consumption at retail stores
No full textIn this thesis we want to present the steps I followed during my
internship at Energia&Progetti CO2Save to build an algorithm to evaluate if and how much some efficiency intervention reduced the energy consumption in the retail stores of a client.
In the first section of the thesis we present the company I worked for, the problem we needed to solve and the dataset we had to model and build our algorithm. In the second chapter we explore many different approaches, from the simple linear regression model, to the AutoRegressive model, passing by some Machine Learning algorithms as the k-Nearest Neighbors and the Decision Tree; for each one of these methods, we presented a bit of theory and the results we got, highlighting the pros and cons of their application. All the method seen in chapter 2 had been studied, in different courses, during the Master Degree in Data Science, so in the third section we present a model that hasn’t been covered during any course I followed: the State-Space model; this class of models is very wide and flexible and it proved to be a good choice for our problem. In section three, therefore, we see some of the theory behind this method and the results that we managed to reach. Finally, in the conclusion, we summarize what we have seen before and we try and figure what could be the following steps to improve our results and make our algorithm suitable for even larger tasks
