Energy Consumption Forecasting Using Deep Learning

Introduction

• Project Overview and Objectives

• Importance of Energy Consumption Forecasting in Nigeria

Data Collection and Preprocessing

• Data Sources and Description

• Key Steps in Data Cleaning and Feature Engineering

Methodology

• Overview of TensorFlow and LSTM Models

• Model Architecture and Training Process

Results

• Model Performance and Accuracy

• Key Findings from the Forecast

Discussion

• Insights and Implications for Nigeria’s Energy Sector

• Limitations and Areas for Future Research

Conclusion

Recommendation

References