A Hybrid Model for Optimizing Gas Storage Utilisation
نویسنده
چکیده
We examine the problem faced by owners of gas storage contracts of how to manage the injection/withdrawal schedule of gas, given historical price behavior and a predictive model of future prices. We describe a software application, deployed with a gas utility, that involves a hybrid price prediction model that combines a support vector machine technique with a stochastic model for short and long-term gas prices, respectively. We present a formulation for the associated scheduling problem given capacity, injectability and deliverability constraints for each
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