Be the first to like this
I studied the inner working of spot markets inside Italian Power EXchange and I analysed the results of prices in these ones to look for a stochastic SARIMA model in order to forecast the prices.
I studied the steel industrial domain and the model of a simulator (developped by Iso Sistemi S.r.l.) of the industrial plant of Piombino in order to get the expected energy consumption. Then I design and develop a platform that contains the predictive model and the simulator. The platform is able to generate different scenarios of purchase by the various energy markets, and further to select the best scenario for minimizing overall costs of energy according to the production plan established.
I also analyse ex-post the gain of using this platform using actual datas about consumption of the steel plant of Terni for Genuary 2013. The platform improves the total cost of energy purchase, and the saving is near to the best solution that you can select in retrospect.
Final Mark: 110/110 cum laude