chandanc5525/EnergyConsumption_PredictionModel

This project focuses on analyzing electricity consumption patterns in Tétouan, a city located in northern Morocco. The study leverages real-world data collected from the electricity distribution network to understand consumption behavior, identify trends, and support data-driven decision-making for energy management. # **Energy Consumption Prediction Model** --- ## **Project Overview** This project focuses on analyzing electricity consumption patterns in Tétouan, a city located in northern Morocco. The study leverages real-world data collected from the electricity distribution network to understand consumption behavior, identify trends, and support data-driven decision-making for energy management. Tétouan has experienced steady population growth (~1.96% annually since 2014), which directly impacts energy demand. Given Morocco’s relatively low per capita energy consumption and dependence on imported oil products, efficient energy usage and forecasting are critical. ``` Note: The dataset is obtained from the Supervisory Control and Data Acquisition (SCADA) system operated by Amendis, responsible for electricity and water distribution in Tétouan since 2002. ``` --- ``` Research Article: Salam, Abdul Rahim and Abdelaaziz El Hibaoui. “Comparison of Machine Learning Algorithms for the Power Consumption Prediction : - Case Study of Tetouan city –.” 2018 6th International Renewable and Sustainable Energy Conference (IRSEC) (2018): 1-5. ``` --- --- ## **Monitoring Pipeline: Glimpses** --- ## **Contributions are welcome...** Feel free to: - Fork the repository - Create a feature branch - Submit a pull request ---