Engineering
4 years ago

New Forecasting Models Improve Accuracy of Electrical Demand Predictions

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2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC)
Electrical Load Forecasting Using Time Series Analysis
Shilpa. G. N, G. S. Sheshadri

Paper Summary

The article discusses how to predict electrical demand using time series analysis. Three models were compared: ARMA, ARIMA, and ARIMAX. Results showed that ARIMA and ARIMAX models are more accurate than ARMA, with ARIMAX slightly better than ARIMA. The study used data from Karnataka State in 2019 and considered factors like holidays and weekdays to improve accuracy in predicting electrical demand.

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