The Experts Method for the prediction of big data streams of energy flow

We have developed a method, called Experts Method, to forecast the evolution of a multivariate set of time series, of big dimension, and with partially censored data. It has been applied to the data provided by the H2020 Big Data Horizon Prize 2017 (http://ec.europa.eu/research/horizonprize/index.cfm?prize=bigdata). The data subject to the forecast […]

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CFD modelling for Wind Energy development at LUT Computational Engineering

In Finland, wind energy is one potential renewable energy sources, but has not been widely exploited. Today, the interest for inland wind-farm locations is raising in Finland with several ongoing investment studies. However, inland locations mean complex terrains with hills, forests and lakes, all strongly influencing local weather and wind […]

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