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Agile forecasting of dynamic logistics demand [PDF]
Transport, 2008 The objective of this paper is to study the quantitative forecasting method for agile forecasting of logistics demand in dynamic supply chain environment. Characteristics of dynamic logistics demand and relative forecasting methods are analyzed. In order
X. Miao, B. Xi
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A Demand Forecasting Framework With Stagewise, Piecewise, and Pairwise Selection Techniques
IEEE Access, 2021 We propose an innovative electricity demand forecasting framework based on three model-selection techniques to maximize the forecasting accuracy. In the framework, we forecast the day-ahead electricity demand every 15 minutes based on temperature and ...
Sooyeon Kim, Duehee Lee
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Traffic Demand Forecasting for Port Services
Promet (Zagreb), 2011 Successful management of any sea port depends primarily on the harmonisation of transport supply and demand, whereas their incompatibility leads to a number of problems. The port, i.e.
Alen Jugović +2 more
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INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES [PDF]
Applied Computer Science, 2018 Intermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account.
Gamze Ogcu KAYA, Ali TURKYILMAZ
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A hybrid Autoformer framework for electricity demand forecasting
Energy Reports, 2023 Electricity demand forecasting is of great significance to the electricity system and residents’ life, but it is difficult to forecast the electricity demand series because of the influence of cyclical factors.
Ziqian Wang +5 more
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Forecasting Methodology of Maritime Passenger Demand in a Tourist Destination
Promet (Zagreb), 2009 Maritime passenger demand forecasting is a task that is almost always present in the development studies of passenger ports, both due to operational and investment requirements.
Davor Krasić, Petra Gatti
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Energies, 2020 Accurate forecasting of the energy demand is crucial for the rational formulation of energy policies for energy management. In this paper, a novel ensemble forecasting model based on the artificial bee colony (ABC) algorithm for the energy demand was ...
Jun Hao, Xiaolei Sun, Qianqian Feng
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Demand Forecasting Tool For Inventory Control Smart Systems
Journal of Communications Software and Systems, 2021 With the availability of data and the increasing capabilities of data processing tools, many businesses are leveraging historical sales and demand data to implement smart inventory management systems.
Fatima Zohra Benhamida +5 more
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A combined forecasting method for intermittent demand using the automotive aftermarket data
Data Science and Management, 2022 Intermittent demand forecasting is an important challenge in the process of smart supply chain transformation, and accurate demand forecasting can reduce costs and increase efficiency for enterprises.
Xiaotian Zhuang, Ying Yu, Aihui Chen
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Improving demand forecasting with LSTM by taking into account the seasonality of data
Journal of Applied Research on Industrial Engineering, 2020 Demand forecasting is a vital task for firms to manage the optimum quantity of raw material and products. The demand forecasting task can be formulated as a time series forecasting problem by measuring historical demand data at equal intervals.
Hossein Abbasimehr +1 more
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