doi:10.1016/0016-3287(76)90124-5Sam ColeElsevier LtdFuturesCole, H.S.D., 1976, Long Term Forecasting — Emphasis and Institutions, Futures , 8 , 305–317.
Long-term forecasting is forecasting usually performed on time horizons of weeks, months, quarters, a year, or even multiple years and is applicable to make decisions on long-term investments and reinforcements in a power system. From: Microgrid Protection and Control, 2021 ...
网络长期预报;长期预测;长期性预测 网络释义 1. 长期预报 环境资源英语词汇(1) ... 长期趋势 Long-term trends长期预报Long-term forecasting液体废物 Liquid wastes ... www.diyifanwen.com|基于126个网页 2. 长期预测 石油词汇英语翻译(L)--石油百科 ... long-term drift 长期掉格long-term forecasting长期预...
14 Short-term load forecasting based on an adaptive hybrid method 电力系统保护Power System Protection(part2) A hybrid economic indices based short-term load forecasting system 电力系统自动化(Power system automation) 电力系统负荷预测及其方法研究 电力系统负荷预测 电力系统负荷预测系统 外文翻译及文献...
The key issue to this task is to obtain an accurate long-term network traffic prediction. However, directly extending the prediction horizon of existing methods is ineffective for long-term forecasting since these methods suffer a severe performance degeneration, where the long-term prediction horizon...
Short term load forecasting of Taiwan power system using a knowledge-based expert system. Ku-Long Ho,Yuan-Yih Hsu,Chuan-Fu Chen,Tzong-En Lee,Chih-... HO Kl,YY Hsu,CF Chen,... - Winter Meeting of the Power Engineering Soc of the IEEE 被引量: 347发表: 1990年 Overview and comparison...
Beating the Random Walk: A Performance Assessment of Long-Term Interest Rate Forecastsinterest rate forecastingexpert knowledgecombining forecastsoptimizing forecast errorsThis article assesses the performance of a number of long-term interest rate forecast approaches, namely time series models, structural ...
Using artificial neural networks (ANN), we study the possibility for long-term forecasting of the annual mean Wolf numbers and the monthly average solar radiation flux at 2800 MHz. A feedback ANN with error backpropagation was designed and implemented for this purpose. The software allows one to...
(NNs), is designed as the MSA predictor for the effective long-term forecast of hydrological signals. By the application of 12 types of hybrid and pure models in estuarine 1096-day river stages forecasting, the different forecast performances and the superiorities of CDW-NN model with ...
Therefore, any log-term forecast, by nature, is inaccurate! Most of the electric-load forecasting methods are dedicated to short-term (a few minutes to 24 h) forecasting but not as much for the long-term (1–10 years) or intermediate-term (a few days to several months) load forecasting...