Improvement of renewable energy supply forecasts: The case of Taiwan renewable industry
نویسنده
چکیده
Grey theory is one of the new mathematical theories born out of the concept of the grey set. It is an effective method used to solve uncertainty problems with discrete data and incomplete information. In this paper, an improved grey GM (1, 1) model, using a technique that combines residual modification with the Markov chain model, is proposed. This paper employs the annual supply value of Taiwan renewable industry as our case study to test the efficiency and accuracy of the proposed model. According to the results, the Grey-Markov model could clearly improve the forecast accuracy of the original grey forecast model.
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