Power dispatching online trend early warning system based on ultra short term load prediction
A technology for short-term load forecasting and load forecasting, which is applied in the field of power dispatching online trend warning system, power grid short-term trend warning and post-accident post-processing plans, which can solve problems such as low level of intelligence and cognitive impairment due to massive information.
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[0036] The present invention is a power dispatching online trend early warning system based on ultra-short-term load forecasting, which specifically includes the following operation steps:
[0037] 1. Short-term load forecasting based on big data analysis of electricity consumption.
[0038] Use time series methods for short-term load forecasting. Time series method is a quantitative forecasting method, which is widely used as a commonly used forecasting method in data mining. The two tasks of time series modeling are to analyze how the current data is affected by the data of the previous periods, and the other is the regularity of the changes in time. The time series algorithm selected by the present invention is the ARIMA model. The full name of ARIMA model is AutoRegressiveIntegratedMovingAverageModel (ARIMA). It is a well-known time series forecasting method proposed by Box and Jenkins in the early 1970s, so it is also called Box-Jenkins model. , Box-Jenkins method. Among t...
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