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Description

This PR adds a new Energy Consumption Prediction ML project to the repository. The project helps predict energy consumption patterns for buildings and facilities, enabling optimization of energy usage and cost reduction through accurate forecasting.

Key Features:

  • Analyzes temporal features (hour, day, month, season)
  • Considers weather conditions (temperature, humidity)
  • Evaluates building characteristics and occupancy
  • Uses multiple ML algorithms (LSTM, XGBoost, Random Forest, Prophet)
  • Provides applications for smart grid optimization and building energy management

Type of change

  • Added a new machine learning frameworks, libraries or software.
  • Documentation update

Checklist:

  • My code follows the style guidelines of this project
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings

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Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

@Raghu0703
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@sanjay-kv Hi! I have completed this pull request adding an Energy Consumption Prediction ML project to the repository. This project helps predict energy usage patterns for buildings and facilities with applications in smart grid optimization and building energy management. I would be grateful if you could kindly review and accept this contribution. Thank you for your time! 🙏

@Raghu0703
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Raghu0703 commented Nov 26, 2025

can you merge this it boosts my confidence

@Raghu0703
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Raghu0703 commented Nov 26, 2025

I need to show atleast 10 merges to sustain my grade can you please help me out with this

@sanjay-kv sanjay-kv merged commit 33d67f1 into recodehive:main Nov 26, 2025
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2 participants