R <- Slovakia Meetup #1 [Clustering Electricity Consumers & Prediction]
Details
Title: Using Clustering Of Electricity Consumers To Produce More Accurate Predictions
Event description:
Peter Laurinec will give us tips and tricks for predicting mainly seasonal time series of electricity consumption. Appropriate methods to predict seasonal time series will be mentioned. We will pay main attention to the usage of cluster analysis to produce more accurate predictions and the following importance of dimensionality reduction. We will talk how such approaches can be efficiently programmed in R (data.table, parallel, acceleration of matrix calculus - MRO).
About speaker (Peter Laurinec):
Researcher
- Interested in data mining, machine learning and data analysis.
- Developing a method for clustering multiple data streams.
- Improving forecast methods for time series.
- Cluster analysis of large datasets (Big Data).
Blogger
- link: https://petolau.github.io/ (https://l.facebook.com/l.php?u=https%3A%2F%2Fpetolau.github.io%2F&h=ATM85iHuU_xiIUr6Fq98-mC0aYOB1qBthtYC4OvNdXWGpXRDW36Syju2_v1gaE_I1Yva0aUbUVLB8B_MvO9-RQyx5WCcqqC_Shf1Tb4b55e7TOv5V3phNKWvcasUi9BOU6Q&enc=AZMj40xTGUqxdg8fwrNz10hpQ4jIX67HWN2Bjo_4Ftk9mn7nObQjr07BDnBLWrqk2II&s=1)
- Writing about time series data mining -> data pre-processing, forecasting and cluster analysis.
- Written in R and Rmarkdown.
Teacher
- Teaching procedural programming and artificial intelligence.
- Tutoring in areas of statistics and mathematics.