1. Introduction

1.1. Introduction

1.2. Challenges and Risks of Big Data Methodologies

2. Big Data

2.1. Structure of Big Data for Electricity Demand

2.2. First Step: Seasonal Statistics of Demand (Excel)

2.3. First Step: Python Implementation

2.4. Second Step: Daily Average Load Factor time series (Excel)

2.5. Second Step: Python Implementation

2.6. Third Step: Calculating the Error of Daily Average from Seasonal (Excel)

2.7. Third Step: Python Implementation

2.8. Step Four: Minimum Load Factor Error (Excel)

2.9. Step Four: Python Implementation

2.10. Step Five: Finding the day when the minimum error occurs

2.11. Step Five: Python Implementation

2.12. Step Six: Deriving the small dataset with the typical days.

2.13. Step Six: Python Implementation

3. Conclusions

3.1. Conclusions