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Cinute Digital Pvt. Ltd

Power Load Forecasting Using Machine Learning (Short term training Program)

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Session Highlights:

  • Purpose:
    • Equip faculty with practical knowledge on building machine learning models for load demand forecasting.
    • Emphasize the significance of accurate forecasting in the power industry for improved efficiency and reliability.
  • Methodology and Workflow:
    • Data Collection and Preprocessing
    • Exploratory Data Analysis (EDA) for understanding patterns and correlations
    • Feature Engineering for enhanced model accuracy
    • Model Selection and Evaluation, focusing on regression-based approaches
    • Hyperparameter Tuning for optimizing model performance
    • Model Deployment with Flask/Django for integration with utility systems
    • Visualization and Reporting for effective presentation of forecasted results

Key Takeaways:

  • Practical experience in developing, evaluating, and deploying machine learning models for power load forecasting.
  • Understanding of time series forecasting techniques and their applications in the power sector.
  • Insight into data visualization and reporting for effective decision-making.

Additional Details

Speakers - Esha Prakash, Cezzane Khan

Event registration closed.
 

Date And Time

07-11-2024 | 10:00 AM
 

Registration End Date

07-11-2024
 

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