For example, in the control and management of working capital we are attempting to optimise the future...doi:10.1007/978-1-349-15683-2_7Michael FirthUniversity of StirlingMacmillan Education UKCole, Sam, "Long-Term Forecasting Methods," Futures, 1976, pp. 305-319....
1)short-term forecasting短期预测 1.Comparison of city water consumptionshort-term forecastingmethods;城市用水量短期预测方法的比较研究 2.Short-term Forecasting for Human Resources of PBC Based on Markov Chain Theory;基于马尔可夫链的央行分支机构人力资源的短期预测 3.SVM-basedshort-term forecastingmethods ...
网络短期预测;短期性预测;短时预测 网络释义 1. 短期预测 石油英语词汇 ... ... 'p`6V0 short-run decision 短期决策 ]4C0short-term forecasting短期预测]p0 shortened code 截短码 ... www.cihui.biz|基于22个网页 2. 短期性预测 (三)短期性预测(Short-term Forecasting) ...
And a method for very short-term load forecasting is presented based on the local shape similarity. 在对电力负荷局部特性分析的基础上,定义了一个描述负荷序列形状相似程度的指标——负荷曲线形系数,提出了一种基于局部形相似的超短期负荷预测方法。 更多例句>> 4...
short term forecast for electric power demand duonq一d旧nll xuq一u yuee短期电力摇求预测(short term foreeast foreleetrie power demand)一般是指一年之内以月为单位,或一月之内以周、天、小时为单位,对未来一个月、一周、一天、一小时时段的电力需求所做的预侧。它是在充分考虑系统的重要运行特性、自然...
Accurate short-term load forecasting is of great significance to ensure the security and economic operation of power grid. Long and short term memory (LSTM) based predictive model in machine learning is a typical method for short-term load forecasting, but it is difficult to extract the weight ...
Theory Study and Application of the BP-ANN Method for Power Grid Short-Term Load Forecasting Aiming at the low accuracy problem of power system short-term load forecasting by traditional methods,a back-propagation artificial neural network(BP-ANN) ... X Hua,G Zhang,J Yang,... - 中兴通讯技...
Short-term load forecasts are needed for the efficient management of power systems. Although weather-based modeling is common, univariate models can be useful when the lead time of interest is less than one day. A class of univariate methods that has performed well with intraday data is exponent...
To solve the problems of current short-term forecasting methods for metro passenger flow, such as unclear influencing factors, low accuracy, and high time-space complexity, a method for metro passenger flow based on ST-...
predicts both price and yield of crop by integrating ARIMA and LSTM (Long Short Term Memory) forecasting methodologies by taking the past data into ... Meeradevi,IGS Yasaswi,MR Mundada,... 被引量: 0发表: 2022年 Methodological framework for short-and medium-term energy, solar and wind powe...