Keat Soon Tioh

The Application of Time Series Forecasting Model for Carbon Emissions Prediction in Electrical Grid: A Step Toward Climate Action

This study evaluates the forecasting performance of three models of Autoregressive Integrated Moving Average (ARIMA), Prophet, and Bi-directional Long Short-Term Memory (BiLSTM) in predicting CO2 emissions from the electricity grid in the United States. Using a real dataset from the California Independent System Operat...