The paper addresses the use of an adaptive, recursive fuzzy modeling based on the notion of levelset to forecast monthly streamflows of a major hydroelectric power plant reservoir at the northeast of Brazil. Streamfl...
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ISBN:
(纸本)9783031739965;9783031739972
The paper addresses the use of an adaptive, recursive fuzzy modeling based on the notion of levelset to forecast monthly streamflows of a major hydroelectric power plant reservoir at the northeast of Brazil. Streamflows are highly complex nonstationary time series with high variability during the year, a feature that turns modeling and forecasting very hard and challenging. The adaptive levelset method is evaluated against periodic autoregressive moving average models, currently adopted by many power industries, and against granular, neural, neural fuzzy, recurrent neural, and datadrivenlevelset models. The results show that adaptive levelsetmodeling achieves the best root mean square error performance, surpassing all the models considered herein.
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