karina100400/Power-Consumption-in-Morocco

# Power Consumption Forecasting in Tetouan, Morocco ## Project Overview This project analyzes and forecasts power consumption in Tetouan, Morocco using time series models. The analysis explores how weather events and seasonal/daily patterns influence consumption trends across three zones in the region. ## Team Members - **Jaehyung Kim** - **Karina Grewal** - **Steve Liang** --- ## Data Description The dataset contains power consumption measurements from Tetouan, Morocco, recorded from January 1st, 2017 to December 30th, 2017. The data was collected from Amendis, the electricity distributor in the region, and obtained from Kaggle. ### Feature Variables - **Temperature**: Measured in Celsius (°C) - **Humidity**: Weather humidity - **Wind Speed**: Wind speed - **Diffuse Flows**: Represents amount of diffused solar radiation *Note: We removed "General Diffuse Flows" as it accounts for radiation that bounces off nearby surfaces.* ### Response Variables - **Zone 1 Power Consumption**: Power Consumption in Quads zone (kV) - **Zone 2 Power Consumption**: Power Consumption in Smir zone (kV) - **Zone 3 Power Consumption**: Power Consumption in Boussafou zone (kV) All measurements were recorded at 10-minute intervals throughout the day. For this analysis, we aggregated power consumption across all three zones to create a comprehensive **total consumption** variable representing the overall power consumption in Tetouan. --- ## Preliminary Data Analysis and Visualization ### Average Daily Power Consumption *Figure 1: Average Daily Power Consumption* The average daily power consumption exhibits an overall trend that peaks during summer months, with a potential weekly seasonal pattern. The data is non-stationary, though variance appears constant when disregarding the overall trend. ### Correlation Analysis *Figure 2: Correlation Heatmap* The temperature variable shows moderate correlation with humidity, wind speed, and total consumption. ### Hourly Power …