Power Consumption Prediction Using Machine Learning

Energy is vital in the modern world, and resource management depends on our ability to estimate our energy consumption with enough accuracy. The goal of our initiative is to alter the way we utilize electricity. Its primary objectives are to ensure that invoices are correct, promote energy conservation, enhance billing transparency, and assist in forecasting future energy requirements. We want to tackle typical issues such as incorrect billing, insufficient real-time data, complex data patterns, and privacy concerns. Our work focuses on power consumption prediction through machine learning. Our model powered by LSTM algorithms tries to forecast how much energy we will use in the future by utilizing historical usage data and other variables. By doing so, we can more effectively use resources, distribute and manage energy, and advance sustainability.