petolau,Peter Laurinec,petolauri,github

Hi there 👋

My name is Peter. I'm Data Scientist.
🔭 Currently as AI & Revenues assurance lead at PowereX.
🌱 I am passionate about Time-series Forecasting and Machine Learning in general.
⚡ Recently I worked on projects about Time-series Forecasting in energy-sector - as electricity consumption, system imbalance, or spot electricity prices.

For more info, you can visit my web-page

Peter Laurinec's Projects

clipstream

ClipStream - multiple data streams clustering method

clusterforecast

Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data

coronadash

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

densityensembles

Density-based clustering unsupervised ensemble learning methods for forecasting double seasonal time series

open-source-covid-19

A global collection of Open Source projects during COVID-19

parallelgenclust

Source codes and datasets for the paper "Suitability of Parallel Genetic Algorithm in Model-Based Gaussian Cluster Analysis".

petolau.github.io

Blog about time series data mining in R.

rcourse

R for beginners - introductions to syntax and machine learning

tsmedianbasedensemblelearning

Incremental median-based ensemble learning method for seasonal time series

tsrepr

TSrepr: R package for time series representations

unsupervisedensembles

Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.

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