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September 16, 2025International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering

A hybrid extreme learning machine and sine cosine algorithm model for accurate electricity price forecasting

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Authors

USUdaiyakumar SambathkumarSSS. Aswin ShanmugamGKG. Kannayeram

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Overview

Hybrid model improves electricity price forecasting accuracy using sine cosine algorithm and neural networks.

Key Points

  • The hybrid model combines sine cosine algorithm and extreme learning machine to enhance forecasting accuracy.
  • Using real-time Indian electricity price data from 2022, the model addresses the complexity of price data.
  • Different seasonal inputs are utilized to train the model, optimizing prediction of electricity prices.
  • Accurate electricity price forecasting is essential for managing bills and optimizing generation scheduling.

Cite This Study

Sambathkumar et al. (2025) studied this question.

synapsesocial.com/papers/68d4566231b076d99fa5b534https://doi.org/10.11591/ijece.v15i5.pp4366-4375
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