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RSK World
energy-consumption
RSK World
energy-consumption
Energy Consumption Dataset - Time Series Analysis + Energy Forecasting + Smart Grid Analytics
energy-consumption
  • __pycache__
  • .gitignore429 B
  • ADVANCED_FEATURES.md5.3 KB
  • ERRORS_FIXED.md2.9 KB
  • LICENSE1.3 KB
  • PROJECT_INFO.md2 KB
  • README.md5.3 KB
  • RELEASE_NOTES.md4.2 KB
  • advanced_analysis.py10.7 KB
  • analysis.py4.3 KB
  • anomaly_detection.py9 KB
  • energy_consumption.csv1.7 MB
  • energy_consumption.json7.4 MB
  • forecasting.py11.2 KB
  • generate_data.py5.5 KB
  • index.html21.4 KB
  • model_evaluation.py9.6 KB
  • preprocessing.py10.2 KB
  • requirements.txt303 B
  • visualization.py6.5 KB
ERRORS_FIXED.md
ERRORS_FIXED.md
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ERRORS_FIXED.md

# Errors Fixed - Energy Consumption Dataset

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

## Summary

All files have been checked and errors have been fixed. The project is now error-free and ready to use.

## Errors Fixed

### 1. **preprocessing.py** - Deprecated pandas fillna() method
- **Issue**: Used deprecated `fillna(method='ffill')` and `fillna(method='bfill')` syntax
- **Fix**: Updated to use `ffill()` and `bfill()` methods directly
- **Status**: ✅ Fixed

### 2. **preprocessing.py** - isocalendar() access
- **Issue**: Incorrect access to `isocalendar().week` attribute
- **Fix**: Updated to handle DataFrame return type: `iso_cal['week'] if isinstance(iso_cal, pd.DataFrame) else iso_cal.week`
- **Status**: ✅ Fixed

### 3. **forecasting.py** - isocalendar() access
- **Issue**: Same as above - incorrect access to `isocalendar().week`
- **Fix**: Updated to handle DataFrame return type properly
- **Status**: ✅ Fixed

### 4. **anomaly_detection.py** - DataFrame.get() method usage
- **Issue**: Used `.get()` method on DataFrames (dictionary method, not DataFrame method)
- **Fix**: Changed to proper column access with existence check: `df['column'] if 'column' in df.columns else default`
- **Status**: ✅ Fixed

## Verification Tests

### ✅ Syntax Check
- All Python files compile without syntax errors
- All modules import successfully
- No linter errors found

### ✅ Import Test
- All modules can be imported: `generate_data`, `analysis`, `visualization`, `forecasting`, `anomaly_detection`, `advanced_analysis`, `preprocessing`, `model_evaluation`
- All classes can be instantiated
- All dependencies are available

### ✅ Runtime Test
- Preprocessing module tested with actual data
- Time features creation works correctly
- No runtime errors detected

## Files Verified

1. ✅ `generate_data.py` - No errors
2. ✅ `analysis.py` - No errors
3. ✅ `visualization.py` - No errors
4. ✅ `forecasting.py` - Fixed and verified
5. ✅ `anomaly_detection.py` - Fixed and verified
6. ✅ `advanced_analysis.py` - No errors
7. ✅ `preprocessing.py` - Fixed and verified
8. ✅ `model_evaluation.py` - No errors
9. ✅ `index.html` - No errors
10. ✅ `README.md` - No errors
11. ✅ `requirements.txt` - No errors

## Status

**All errors have been resolved. The project is ready for use.**

## Testing Commands

To verify everything works:

```bash
# Test imports
python -c "import generate_data, analysis, visualization, forecasting, anomaly_detection, advanced_analysis, preprocessing, model_evaluation; print('All OK')"

# Test compilation
python -m py_compile *.py

# Test with actual data
python preprocessing.py
```

## Contact

For questions or support:
- Website: https://rskworld.in
- Email: help@rskworld.in
- Phone: +91 93305 39277

About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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