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1 article for “Very Short-Term Load Forecasting (VSTLF)”

• Published Subscription Review Article 20 Apr 2026

  Very Short-Term Load Forecasting Using Gaussian Process Regression

  By Karan Sati, Abhishek Yadav

  Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …

  Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article →