doi:10.1016/0016-3287(76)90124-5Sam ColeElsevier LtdFuturesCole, H.S.D., 1976, Long Term Forecasting — Emphasis and Institutions, Futures , 8 , 305–317.
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...
1. Title: TiDE: Time-series Dense Encoder for Long-term Forecasting 2. Authors: Harsha Kokel, Qibin Zhao, Mohammad Shoeybi, Kurt Keutzer 3. Affiliation: Harsha Kokel, UC Berkeley (伯克利加州大学) 4.…
In order to ensure the efficient operation of the power system, accurate online load forecasting is necessary. Existing studies face challenges in addressing unconventional load changes in long-term load forecasting (LTLF) and are unsuitable for online forecasting due to their reliance on measured Fo...
1)mid-long term中长期 1.Comprehensive models for mid-long term load forecast based on three-target quantities;基于三指标量的中长期负荷预测综合模型 2.This paper introduces several mid-long term load forecasting methods,including regression model、grey model、spacial load forecasting、s-curve forecasting...
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...
INTRODUCTION: Mathematical models have been used to obtain long-term forecasts of the COVID-19 epidemic. METHODS: The daily COVID-19 case count in two Brazilian states was used to show the potential limitations of long-term forecasting t... EZ Martinez,DC Aragon,AA Nunes - 《Revista Da Soc...
In this research, we combine advanced forecasting methods with system dynamics to study the development of Finnish sea ports. We use regression and ARIMA models in conjunction with a system dynamic Monte Carlo simulation model to estimate the development of Finnish sea ports. Based on long-term ...
Floating Car Data-Based Short-Term Travel Time Forecasting with Deep Recurrent Neural Networks Incorporating Weather Data A review of the state-of-the art methods in short-term traffic forecasting presented in this paper reveals that machine learning (ML) algorithms from ... M Walch,M Neubauer,W...
forecasting methods and their application area,” 2013. [2] L. Staphorst, L. Pretorius, and T. Pretorius, “Technology forecasting in the national research and education network technology domain using context sensitive data fusion,” Technological F orecasting and Social ...