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What is Demand Forecasting Models about?

The paper discusses demand forecasting models for academic campus buildings at Stellenbosch University, focusing on reducing peak demand costs through three forecasting methods: Least Squares Estimation (LSE), Gaussian Process Regression (GPR), and Artificial Neural Networks (ANN). It details the system components required for effective demand management, including user interfaces, communication networks, and data inputs, while analyzing historical demand and weather data to optimize forecasting accuracy. T

Author

Eng. IRADUKUNDA Emmanuel

Language

EN