Household electric energy management method and system based on weather prediction

Abstract

The invention discloses a household electric energy management method based on weather prediction. The method comprises: establishing a generating capacity prediction model and an electricity consumption prediction model on weather data; when input weather prediction data is received, calculating power generation amount prediction data according to the weather prediction data by using a power generation amount prediction model, and calculating power consumption amount prediction data according to the weather prediction data by using a power consumption amount prediction model; formulating a household electric energy management strategy according to the generating capacity prediction data, the electricity consumption prediction data and a preset rule; and executing the household electric energy management strategy to control the operation of the power generation equipment and each household appliance. According to the method, the operation of the power generation equipment and the household appliances is intelligently adjusted according to the power generation condition and the power utilization requirement, electric energy waste is avoided, and the household power generation income is improved. The invention further provides a household electric energy management system and equipment based on weather prediction and a computer readable storage medium which have the above beneficial effects.

Description

technical field [0001] The present application relates to the field of household power generation, and in particular to a method, system, device and computer-readable storage medium for household electric energy management based on weather forecast. Background technique [0002] With the massive consumption of conventional energy, renewable energy has attracted more and more attention of human beings in the 21st century. A series of issues such as climate change caused by the consumption of energy resources are not only a challenge to China, but also a challenge to the world. Energy shortages make green energy power generation (hydropower, wind power and solar power) more and more popular. , Green energy power generation has been gradually recognized and widely used in people's lives. The widespread use of green energy is of great significance to reduce the emission of carbon dioxide and other toxic gases, prevent and control air pollution, and protect the ecological environ...

AI Technical Summary

Problems solved by technology

However, the performance of the household power generation system in the prior art is usually determined by the weather, and its change is not controlled by humans, and the storage capacity of the energy storage system is limited. When it is too high, the excess electricity needs to be input to the grid, and the grid has different policies for the surplus electricity to be connected to the grid. Some places accept power transmission to the grid and provide subsidies; some places do not allow power transmission to the grid, and need to prevent backflow In some places, it is allowed to send electricity to the grid, but it needs to be charged. Therefore, generally speaking, directly inputting surplus electricity into the grid without intelligently adjusting the operation of power generation equipment and household appliances according to the power generation situation and power demand will cause Waste of electricity, making household power generation less profitable

Images