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63 lines
2.3 KiB
63 lines
2.3 KiB
{
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"cells": [
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{
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"source": [
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"# Data Setup\n",
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"\n",
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"For dis notebook, we go show how to:\n",
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"\n",
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"set up time series data for dis module \n",
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"see di data well well \n",
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"Di data wey we dey use for dis example na from GEFCom2014 forecasting competition1. E get 3 years hourly electricity load and temperature values from 2012 go reach 2014.\n",
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"\n",
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"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.\n"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---\n\n<!-- CO-OP TRANSLATOR DISCLAIMER START -->\n**Disclaimer**: \nDis dokyument don use AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) do di translation. Even as we dey try make am accurate, abeg sabi say machine translation fit get mistake or no dey correct well. Di original dokyument for im native language na di main source wey you go trust. For important mata, e good make professional human translation dey use. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translation.\n<!-- CO-OP TRANSLATOR DISCLAIMER END -->\n"
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