Demand forecasting methods and demand prediction a 优质文献 相似文献Forecasting the demand for international business tourism This study provides a comprehensive comparison of the accuracy of modern forecasting methods in the context of international business tourism demand foreca... ...
Demand forecasting: evidence-based methods. In: Working Paper 24/05, Demandforecasting35-Mon- ashdoc. Department of Econometrics and Business Statistics, Monash University, Australia; 2005.Green, K.C. and Armstrong, J.S. (2012). Demand Forecasting: Evidence-Based Methods. International Journal of...
Forecasting the future demand is crucial for supply chain planning. In this chapter, the fuzzy methods that can be used to forecast future by historical demand information are explained. The examined methods include fuzzy time series, fuzzy regression, adaptive network-based fuzzy inference system ...
A review of papers on the application of decomposition methods points to a concentration of papers in forecasting of electricity prices, load (i.e. both demand and consumption) and output of renewable energy power plants (i.e. both power and energy). The forecasts presented pertain to various...
The importance of energy demand management has been more vital in recent decades as the resources are getting less, emission is getting more and developments in applying renewable and clean energies has not been globally applied. Demand forecasting plays a vital role in energy supply-demand managemen...
Examples of time series forecasting include: predicting consumer demand for a particular product across seasons; the price of home heating fuel sources; hotel occupancy rate; hospital inpatient treatment; fraud detection; stock prices. You can perform forecasting either via storage or machine learning ...
These methods are tested with data on forecasts of quarterly hog prices, both within and out of sample. It is demonstrated that the optimum method ... CWJ Granger,R Ramanathan - 《Journal of Forecasting》 被引量: 1442发表: 1984年 Price forecasting and evaluation: An application in agriculture...
Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach. PloS ONE. 2021;16(5):e0250890. Article CAS PubMed PubMed Central Google Scholar Zheng T, Xie W, Xu L, He X, Zhang Y, You M, et al. A machine learning-...
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings. Sustainable Cities and Society, 55: 102052 Article Google Scholar Ahmadpour A, Mokaramian E, Anderson S (2021). The effects of the renewable energies penetration on the surplus welfare under ...
Moreover, among the NN methods, a new proposed method is shown to be better than that proposed by Gutierrez et al. in terms of forecast accuracy and inventory efficiency. 展开 关键词: intermittent demand forecasting inventory neural networks ...