Photovoltaic power prediction method, device and equipment and readable storage medium

Abstract

The invention belongs to the technical field of photovoltaic power generation, and discloses a photovoltaic power prediction method, device and equipment and a readable storage medium. The method comprises the following steps: carrying out similar day clustering on the weather forecast historical data and the weather forecast-photovoltaic historical data respectively; constructing an initial LSTMneural network model and an initial BP neural network model, and obtaining a plurality of types of LSTM neural network models and a plurality of types of BP neural network models through classification training of a plurality of types of weather forecast-photovoltaic historical data sets and a plurality of types of weather forecast historical data sets; determining a weather forecast-photovoltaichistorical data set and a weather forecast historical data set to which the weather forecast data of the to-be-predicted time period belongs; and obtaining a first photovoltaic power prediction resultand a second photovoltaic power prediction result through the LSTM neural network model and the BP neural network model of the corresponding category, and performing weighted average to obtain a final photovoltaic power prediction result. According to the method, the BP neural network and the LSTM neural network are combined, and the photovoltaic power prediction precision is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and relates to a photovoltaic power prediction method, device, equipment and readable storage medium. Background technique [0002] In recent years, the development and utilization of solar energy has become an important field of global energy transformation, and photovoltaic power generation has entered the stage of large-scale development in an all-round way, showing a good development prospect. At the same time, photovoltaic power generation is also faced with the problems that its output is greatly affected by weather and other factors, and has strong intermittency and volatility, which restricts the application of a high proportion of photovoltaic power generation in the power grid. If the photovoltaic power generation output can be accurately predicted, it can not only improve the operational efficiency of photovoltaic power plants, but also help the dispatching depart...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the above-mentioned shortcomings of low photovoltaic power predict

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