RELEASE_NOTES.md

# Release Notes - Energy Consumption Dataset v1.0.0

<!--
Project: Energy Consumption Dataset
Author: RSK World
Website: https://rskworld.in
Email: help@rskworld.in
Phone: +91 93305 39277
-->

## 🎉 Release v1.0.0 - Initial Release

**Release Date:** 2026

### Overview

Complete Energy Consumption Dataset project with advanced machine learning features, anomaly detection, time series analysis, and comprehensive data processing tools.

### ✨ Features

#### Core Dataset
- **43,800 records** of hourly energy consumption data
- **5 households** with unique consumption patterns
- **365 days** of data (full year 2023)
- CSV and JSON formats available
- Realistic seasonal patterns and peak hour identification

#### Basic Analysis
- ✅ Statistical analysis and insights
- ✅ Peak hour identification
- ✅ Seasonal pattern analysis
- ✅ Household comparison
- ✅ Correlation analysis

#### Advanced Features

**1. Machine Learning Forecasting**
- Linear Regression model with feature engineering
- Random Forest ensemble model
- 24-hour future consumption forecasting
- Model comparison and performance metrics
- Feature importance analysis

**2. Anomaly Detection**
- IQR (Interquartile Range) method
- Z-Score statistical method
- Isolation Forest (ML-based)
- Time Series rolling window method
- Comprehensive multi-method detection

**3. Advanced Time Series Analysis**
- Time series decomposition (Trend, Seasonal, Residual)
- Autocorrelation analysis (up to 48 lags)
- Mann-Kendall trend detection
- Stationarity testing
- Seasonality strength calculation

**4. Data Preprocessing**
- Missing value handling (multiple methods)
- Outlier removal (IQR/Z-score)
- Data normalization (min-max/standard)
- Feature engineering (time features, lag features, rolling statistics)
- Cyclical encoding for time-based features

**5. Model Evaluation**
- Comprehensive metrics (MAE, RMSE, R², MAPE, MBE, CV(RMSE))
- Model comparison tables
- Prediction vs actual plots
- Residual analysis
- Evaluation reports

#### Web Interface
- Interactive HTML demo page
- Real-time data visualization
- Multiple chart types (line, bar, doughnut, heatmap)
- Responsive design
- Statistics dashboard

### 📦 Files Included

**Python Scripts (8 files):**
- `generate_data.py` - Data generation
- `analysis.py` - Basic analysis
- `visualization.py` - Chart generation
- `forecasting.py` - ML forecasting models
- `anomaly_detection.py` - Anomaly detection
- `advanced_analysis.py` - Advanced time series analysis
- `preprocessing.py` - Data preprocessing
- `model_evaluation.py` - Model evaluation

**Data Files:**
- `energy_consumption.csv` - Main dataset (43,800 records)
- `energy_consumption.json` - JSON format dataset

**Documentation:**
- `README.md` - Complete project documentation
- `PROJECT_INFO.md` - Project metadata
- `ADVANCED_FEATURES.md` - Advanced features guide
- `ERRORS_FIXED.md` - Error fixes documentation
- `LICENSE` - MIT License

**Web:**
- `index.html` - Interactive demo page

**Configuration:**
- `requirements.txt` - Python dependencies
- `.gitignore` - Git ignore rules

### 🚀 Quick Start

```bash
# Install dependencies
pip install -r requirements.txt

# Generate data (if needed)
python generate_data.py

# Run basic analysis
python analysis.py

# Generate visualizations
python visualization.py

# Run advanced features
python forecasting.py
python anomaly_detection.py
python advanced_analysis.py
python preprocessing.py
python model_evaluation.py
```

### 📊 Dataset Statistics

- **Total Records:** 43,800
- **Households:** 5
- **Date Range:** 2023-01-01 to 2023-12-31
- **Average Consumption:** 1.58 kWh
- **Time Granularity:** Hourly

### 🛠️ Technologies Used

- Python 3.x
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Scikit-learn
- SciPy

### 📝 License

MIT License - Free to use for educational and research purposes.

### 👤 Author

**RSK World**
- Website: https://rskworld.in
- Email: help@rskworld.in
- Phone: +91 93305 39277

### 🔗 Repository

https://github.com/rskworld/energy-consumption

---

**Thank you for using Energy Consumption Dataset!**

For questions or support, visit: https://rskworld.in