重庆电力高等专科学校学报
重慶電力高等專科學校學報
중경전력고등전과학교학보
JOURNAL OF CHONGQING COLLEGE OF ELECTRIC POWER
2015年
2期
59-62
,共4页
空调负荷%实时气象因子%神经网络
空調負荷%實時氣象因子%神經網絡
공조부하%실시기상인자%신경망락
air-conditioning load%real-time meteorological factors%neural network
空调负荷在总用电负荷中的比例逐年上升，而气象因子对空调负荷影响尤为重要。分析实时气象因子对空调负荷的影响，提出考虑实时气象因子的基于改进BP神经网络的空调负荷预测模型，对空调负荷进行预测，力求找出温度、湿度与空调负荷的变化关系。
空調負荷在總用電負荷中的比例逐年上升，而氣象因子對空調負荷影響尤為重要。分析實時氣象因子對空調負荷的影響，提齣攷慮實時氣象因子的基于改進BP神經網絡的空調負荷預測模型，對空調負荷進行預測，力求找齣溫度、濕度與空調負荷的變化關繫。
공조부하재총용전부하중적비례축년상승，이기상인자대공조부하영향우위중요。분석실시기상인자대공조부하적영향，제출고필실시기상인자적기우개진BP신경망락적공조부하예측모형，대공조부하진행예측，력구조출온도、습도여공조부하적변화관계。
The proportion of the air-conditioning load in the overall power load has been on the rise year by year, while meteorological factors have an important influence on the air-conditioning load.The analysis of the influence plays a key role in improving the forecasting accuracy of the air-conditioning load.This article analyzes the impact of real-time meteorological factors on the air-conditioning load.In addition,it introduces the forecasting model for the air-conditioning load considering real-time meteorological factors, which is based on the modified BP neural net-work.The model is also helpful in fining out the relationships between temperature,humidity and the air-condition-ing load.
