Скачать или смотреть Smart Energy Monitoring and Forecasting Using AI and IoT

🔋 Smart Energy Monitoring and Forecasting Using AI and IoT | Bangladesh Innovation in Action

In this presentation, Galib Raid introduces a scalable and intelligent energy monitoring system designed to transform electricity management in Bangladesh. By combining real-time data collection, embedded systems, IoT, and machine learning models, this system identifies inefficiencies, predicts future demand, and supports sustainable energy planning—starting from individual buildings to national grid-level optimization.

📊 What You’ll Learn:

Why energy monitoring is crucial in Bangladesh’s current energy landscape

How embedded systems and IoT devices collect and transmit energy data

The role of AI/ML models like LSTM, KNN, CNN-BiLSTM, and LightGBM in forecasting

Case studies from leading Bangladeshi institutions

Real-world applications: from factories and schools to cities

Benefits in cost savings, predictive maintenance, and national grid stability

Implementation challenges and how to overcome them

🌍 Why This Matters:
Bangladesh’s energy demand has increased by over 500% in two decades. With the growing pressure on national infrastructure, smarter energy solutions are not a luxury—they're a necessity. This project aligns with the Digital Bangladesh vision and directly contributes to the UN Sustainable Development Goals.

🧠 Presented by:
Galib Raid
Computer Engineering Student | University of Texas at Arlington

📌 Keywords:
Smart Energy Bangladesh, IoT Energy Monitoring, AI in Energy Forecasting, Load Forecasting Bangladesh, Smart Grid, CNN LSTM Electricity, Digital Bangladesh Energy, Predictive Maintenance, Renewable Integration, Energy Efficiency

📥 Resources & References:
➡️ Based on research by IUB, BRAC University, and AUST
➡️ Includes studies using DESCO and national BPDB datasets
➡️ Powered by models proven in IEEE-published works