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R<-Slovakia meetup started to build community in Bratislava

March 25, 2017
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R<-Slovakia meetup started to build community in Bratislava

On 22. March a first special R related meetup called R<-Slovakia took place. As the name of the meetup group implies, it is based in Slovakia, in its capital - Bratislava. I am very happy to be the first speaker on this event ever. R<-Slovakia ha...

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R&lt;-Slovakia meetup started to build community in Bratislava

March 25, 2017
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R&lt;-Slovakia meetup started to build community in Bratislava

On 22. March a first special R related meetup called R<-Slovakia took place. As the name of the meetup group implies, it is based in Slovakia, in its capital - Bratislava. I am very happy to be the first speaker on this event ever. R<-Slovakia ha...

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Doing magic and analyzing seasonal time series with GAM (Generalized Additive Model) in R

January 26, 2017
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Doing magic and analyzing seasonal time series with GAM (Generalized Additive Model) in R

As I wrote in the previous post, I will continue in describing regression methods, which are suitable for double seasonal (or multi-seasonal) time series. In the previous post about Multiple Linear Regression, I showed how to use “simple” OLS regression method to model double seasonal time series of electricity consumption and use it for accurate forecasting. Interactions...

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Forecast double seasonal time series with multiple linear regression in R

December 2, 2016
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Forecast double seasonal time series with multiple linear regression in R

I will continue in describing forecast methods, which are suitable to seasonal (or multi-seasonal) time series. In the previous post smart meter data of electricity consumption were introduced and a forecast method using similar day approach was proposed. ARIMA and exponential smoothing (common methods of time series analysis) were used as forecast methods. The biggest disadvantage of this...

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Enernoc smart meter data – forecast electricity consumption with similar day approach in R

November 11, 2016
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Enernoc smart meter data – forecast electricity consumption with similar day approach in R

Deployment of smart grids gives space to an occurrence of new methods of machine learning and data analysis. Smart grids can contain of millions of smart meters, which produce a large amount of data of electricity consumption (long time series). In add...

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