Data Science, Time Series Analysis, Machine Learning, Automl, Forecasting.
powerful supervised ML. We first convert this data into a average energy consumption at a daily level and rename the columns to the format that the Prophet forecasting model expects. These real-valued daily energy consumption levels are converted into quartiles, which is the value we are trying to