Research Article

Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network

Table 1

Analysis of influencing factors.

No.NameDescriptionWeight

01TemperatureCurrent temperature of microgrid0.74
02TimeCurrent specific moment0.82
03DayWorking days, weekends, holidays0.81
04MonthCurrent month0.76
05Special eventsExtreme high temperature, extreme low temperature, heavy snow, heavy rain, strong wind, epidemic, etc.0.82
06Proportion of heavy industryProportion of current heavy industry users0.54
07Proportion of light industryProportion of current light industry users0.39
08Proportion of charging pileProportion of current automobile charging piles0.14
09Proportion of new energyProportion of photovoltaic energy and wind energy0.64
10Civil electricity priceCurrent civil electricity price0.11
11Electricity price for industry and commerceCurrent electricity price for industrial and commercial use0.84
12Electricity price of new energyElectricity price of new energy generation0.78
13GDPCurrent gross domestic product0.44
14PopulationTotal population of the current area0.39