BENJAMIN123-CLOUD/MOROCCO-ELECTRICITY-COMSUMPTION-PRACTICE

# MOROCCO ELECTRICITY COMSUMPTION ANALYSIS ## Introduction ### Brief Overview of the Project's Objective This project aims to analyze electricity consumption patterns in Morocco. By understanding these patterns, we can enhance energy management, optimize resource allocation, and contribute to the sustainability and efficiency of the electrical grid. ### Data Source The data for this analysis was sourced from Maven Analytic. A reputable provider of high-quality datasets for business intelligence and data analysis. The dataset includes detailed measurements that are critical for understanding the impact of environmental factors on electricity consumption. ### Importance of Understanding Electricity Consumption Patterns in Morocco Understanding electricity consumption patterns is critical for several reasons: - **Resource Optimization**: Helps in planning and distributing energy resources more effectively. - **Demand Forecasting**: Aids in predicting future energy needs, allowing for better preparedness. - **Cost Efficiency**: Reduces costs associated with overproduction or underproduction of electricity. - **Sustainability**: Supports efforts to minimize environmental impacts by aligning consumption with renewable energy production. ### Data Dictionary This data dictionary provides detailed descriptions of the fields used in the dataset for analyzing electricity consumption and environmental factors. ### Data Description The data used in this analysis consists of electricity consumption measurements from Morocco, recorded at 10-minute intervals across three distinct zones. The dataset includes environmental factors such as temperature, humidity, and wind speed. The data spans a significant period, providing granular insights necessary for detailed analysis. ### Methodology Overview The analysis was conducted using a combination of SQL, Excel, and Power BI. These tools facilitated data extraction, transformation, and visualization to uncover meaningful patterns …