A Method of Probability Distribution Modeling of Multi-Dimensional Conditions for Wind Power Forecast Error Based on MNSGA-II-Kmeans

A Method of Probability Distribution Modeling of Multi-Dimensional Conditions for Wind Power Forecast Error Based on MNSGA-II-Kmeans

How to consider both the influence of weather and wind power in the modeling process of probability distribution of wind power forecast error (WPFE), and to emphasize the application value of conditional modeling, is rarely studied at present. This paper proposes a novel method of conditional probab...

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Bibliographic Details
Main Authors: Jiang, S. (Author), Ke, D. (Author), Liu, N. (Author), Liu, Y. (Author), Luo, Y. (Author), Yang, J. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Clustering algorithms
Conditional models
conditional probability distribution
Conditional probability distributions
Distribution functions
Electric load dispatching
Errors
Forecast errors
Multi dimensional
Multi-dimensional influencing factor
multi-dimensional influencing factors
multi-objective clustering
Multi-objective clustering
Probability distribution model
Probability: distributions
Scheduling
Stochastic systems
Support vector machines
Weather forecasting
Wind power
Wind power forecast
wind power forecast error
Wind power forecast error
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