{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "bd8a90f9", "metadata": {}, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "markdown", "id": "03510c55", "metadata": {}, "source": [ "# Demand data" ] }, { "cell_type": "code", "execution_count": null, "id": "d110761b", "metadata": {}, "outputs": [], "source": [ "demand = pd.read_parquet(\"norm_demand.parquet\")" ] }, { "cell_type": "code", "execution_count": null, "id": "57ffa9fa", "metadata": {}, "outputs": [], "source": [ "demand.head()" ] }, { "cell_type": "code", "execution_count": null, "id": "b470832e", "metadata": {}, "outputs": [], "source": [ "demand.tail()" ] }, { "cell_type": "code", "execution_count": null, "id": "c563e1e9", "metadata": {}, "outputs": [], "source": [ "demand_pred = pd.read_parquet(\"norm_demand_forecast.parquet\")" ] }, { "cell_type": "code", "execution_count": null, "id": "ac2d1a76", "metadata": {}, "outputs": [], "source": [ "demand_pred.head()" ] }, { "cell_type": "code", "execution_count": null, "id": "dd198e95", "metadata": {}, "outputs": [], "source": [ "demand_pred.tail()" ] }, { "cell_type": "markdown", "id": "0a09a009", "metadata": {}, "source": [ "# Wind data" ] }, { "cell_type": "code", "execution_count": null, "id": "af3edc03", "metadata": {}, "outputs": [], "source": [ "wind_data = pd.read_parquet(\"norm_avail_wind_power_data.parquet\")" ] }, { "cell_type": "code", "execution_count": null, "id": "f71598db", "metadata": {}, "outputs": [], "source": [ "wind_data.head()" ] }, { "cell_type": "code", "execution_count": null, "id": "f4d38ad4", "metadata": {}, "outputs": [], "source": [ "wind_data.tail()" ] }, { "cell_type": "code", "execution_count": null, "id": "4d878712", "metadata": {}, "outputs": [], "source": [ "wind_pred = pd.read_parquet(\"norm_avail_wind_power_forecast.parquet\")" ] }, { "cell_type": "code", "execution_count": null, "id": "21648509", "metadata": {}, "outputs": [], "source": [ "wind_pred.head()" ] }, { "cell_type": "code", "execution_count": null, "id": "2102b56a", "metadata": {}, "outputs": [], "source": [ "wind_pred.tail()" ] }, { "cell_type": "code", "execution_count": null, "id": "527d85af", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Pytorch", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.16" } }, "nbformat": 4, "nbformat_minor": 5 }