Smart Recommendation System for Electric Consumption on Appliance-Level Data With an Arduino-Based Device for Data Gathering Using LSTM Forecasting Algorithm

Description

The study addresses the need for appliance‑level energy monitoring to help users reduce unnecessary electricity consumption through third-party devices. The research “Smart Recommendation System for Electric Consumption on Appliance-Level Data With an Arduino-Based Device for Data Gathering Using LSTM Forecasting Algorithm” aims to forecast electric usage through LSTM algorithm and use it together with historical data through an Arduino-based device to provide energy‑saving suggestions with a recommendation system. Intended for households that uses electricity especially individuals seeking to monitor and optimize their energy use. Through data‑driven insights, the project contributes to sustainable energy management by offering a low‑cost, intelligent solution for appliance‑level monitoring and optimization.