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scikit-learn-pythonmldata-sciencemachinelearningmicrosoft-for-beginnersworkingmachine-learning1-Introductionmachinelearning-pythoneducationmicrosoft-ML-For-Beginnersscikit-learnPythonmachine-learning-algorithms7-TimeSeriesr

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Data Setup

In this notebook, we demonstrate how to:

setup time series data for this module visualize the data The data in this example is taken from the GEFCom2014 forecasting competition1. It consists of 3 years of hourly electricity load and temperature values between 2012 and 2014.

1Tao Hong, Pierre Pinson, Shu Fan, Hamidreza Zareipour, Alberto Troccoli and Rob J. Hyndman, "Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond", International Journal of Forecasting, vol.32, no.3, pp 896-913, July-September, 2016.