AR – Model Python Example Table Of Contents: Steps Involved In Time Series Forecasting. Python Example For Electricity Consumption Prediction. (1) Steps Involved In Time Series Forecasting. The following are some of the key steps which need to be done for training the AR model: Plot The Time-Series Check The Stationarity Determine The Parameter ‘p’ or Order Of The AR Model Train The Model Predict From The Model (2) Electricity Forecasting. Importing Required Libraries: import pandas as pd import numpy as np import matplotlib.pyplot as plt from statsmodels.tsa.ar_model import AutoReg Reading Input Data: df = pd.read_csv(‘Electric_Consumption.csv’) Plotting Consumption Details: df[‘Consumption’].plot(figsize=(20,

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