Short-term photovoltaic power prediction method based on similar daily wavelet transform and multilayer perceptron

A multi-layer perceptron and wavelet transform technology, applied in forecasting, neural learning methods, computer components, etc., can solve the problems of poor forecasting results, time-consuming, unsuitable for medium and long-term forecasting, etc., and achieve strong nonlinear fitting capacity, the effect of improving accuracy and reliability
CN112949936APending Publication Date: 2021-06-11FUZHOU UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
FUZHOU UNIV
Publication Date
2021-06-11

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Abstract

The invention provides a short-term photovoltaic power prediction method based on similar day wavelet transform and a multi-layer perceptron, a power prediction model is established by adopting an artificial intelligence technology, and a short-term photovoltaic power prediction model based on similar day wavelet transform and the multi-layer perceptron is established. According to the model provided by the invention, the advantages of various algorithms are combined, and the prediction accuracy can be effectively improved. The main innovation point of the method is that similar daily wavelet transform and a multilayer perceptron are combined to be used for the research of predicting the output power of the photovoltaic power station.
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Description

technical field

[0001] The invention belongs to the technical field of short-term prediction of photovoltaic power station power, in particular to a short-term photovoltaic power prediction method based on similar day wavelet transform and multi-layer perceptron. Background technique

[0002] In recent years, solar energy has attracted extensive attention due to its clean, non-polluting, abundant and inexhaustible properties. According to a report released by the International Energy Agency (IEA), by the end of 2019, the installed capacity of global photovoltaic systems will be at least 627GW, of which 115GW in 2019. However, the uncertainty, intermittency, volatility and uncontrollability of solar energy are not conducive to the safe and stable operation of the power grid, and hinder the large-scale application of photovoltaic power generation. Accurate prediction of photovoltaic power is a prerequisite for large-scale application of photovoltaic systems and rational plann...

Claims

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