Reliable Energy Consumption Analysis System

Energy efficiency has emerged as a key component of sustainable development for people, companies, and governments alike in a time of growing urbanization and technological growth.This paper introduces the Advanced Energy Consumption Prediction System (AECPS), a sophisticated framework that harnesses machine learning to deliver precise, real-time forecasts of energy usage across residential, commercial, and industrial sectors. AECPS employs a dual-model approach—combining Linear Regression for baseline insights and Long Short-Term Memory networks (LSTM) for advanced time-series analysis—alongside robust data pre processing and interactive visualization tools. Preliminary results demonstrate LSTM superior accuracy (98.5%) over Linear Regression (65.2%), highlighting the system’s potential to reduce waste, lower costs, and promote sustainable energy practices.