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Mehran Nasseri, Taha Falatouri, Patrick Brandtner and Farzaneh Darbanian
In the realm of retail supply chain management, accurate forecasting is paramount for informed decision making, as it directly impacts business operations and profitability. This study delves into the application of tree-based ensemble forecasting, speci...
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Amir Mousavi, Jonathan Bunker and Jinwoo (Brian) Lee
This study investigated whether indices for socioeconomic, demographic and urban form characteristics can reflect the overall effect of each category in a demand forecasting model. Regression equations were developed for trip generation of the land use o...
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Amos O. Anele, Yskandar Hamam, Adnan M. Abu-Mahfouz and Ezio Todini
The stochastic nature of water consumption patterns during the day and week varies. Therefore, to continually provide water to consumers with appropriate quality, quantity and pressure, water utilities require accurate and appropriate short-term water de...
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Apostolos Ampountolas
Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand. Hence, this paper evaluates various model...
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Amos O. Anele, Yskandar Hamam, Adnan M. Abu-Mahfouz and Ezio Todini
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Hossein Iranmanesh, Majid Abdollahzade and Arash Miranian
This paper proposes a structure for long-term energy demand forecasting. The proposed hybrid approach, called HPLLNF, uses the local linear neuro-fuzzy (LLNF) model as the forecaster and utilizes the Hodrick?Prescott (HP) filter for extraction of the tre...
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Iulian Condratov,Pavel Stanciu
Pág. 234 - 244
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James Wong, Albert Chan, Y.H Chiang
Pág. 43 - 56
Forecasting manpower requirements has been useful for economic planners, policy makers and training providers in order to avoid the imbalance of skills in the labour market. Although reviews of the manpower planning models have been conducted previously,...
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James Wong, Albert Chan, Y.H Chiang
Pág. 43 - 56
Forecasting manpower requirements has been useful for economic planners, policy makers and training providers in order to avoid the imbalance of skills in the labour market. Although reviews of the manpower planning models have been conducted previously,...
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Phan Van Thành DOI: 10.26459/jed.v113i14.3661
Pág. 157 - 167
Grey forecasting based on the grey system theory is a dynamic forecasting model and has been successfully applied in various fields. In recent years, many scholars have proposed new procedures or new models with different ways to improve the precision ac...
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Francesca Gagliardi, Stefano Alvisi, Zoran Kapelan, Marco Franchini
Pág. 1 - 15
This paper proposes a short-term water demand forecasting method based on the use of the Markov chain. This method provides estimates of future demands by calculating probabilities that the future demand value will fall within pre-assigned intervals cove...
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Francesca Gagliardi, Stefano Alvisi, Zoran Kapelan and Marco Franchini
This paper proposes a short-term water demand forecasting method based on the use of the Markov chain. This method provides estimates of future demands by calculating probabilities that the future demand value will fall within pre-assigned intervals cove...
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Amos O. Anele, Ezio Todini, Yskandar Hamam and Adnan M. Abu-Mahfouz
In a previous paper, a number of potential models for short-term water demand (STWD) prediction have been analysed to find the ones with the best fit. The results obtained in Anele et al. (2017) showed that hybrid models may be considered as the accurate...
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Yuruixian Zhang, Wei Chong Choo, Jen Sim Ho and Cheong Kin Wan
Tourism forecasting has garnered considerable interest. However, integrating tourism forecasting with volatility is significantly less typical. This study investigates the performance of both the single models and their combinations for forecasting the v...
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Dung David Chuwang and Weiya Chen
Forecasting daily and weekly passenger demand is a key fundamental process used by existing urban rail transit (URT) station authorities to diagnose operational problems and make decisions about train schedule patterns to improve operational efficiency, ...
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Elena Anatol?evna Derunova,Irina Nikolayevna Filatova,Alexandr Sergeevich Semenov,Vladimir Alexandrovich Derunov
Pág. 112 - 118
The formation of demand forecasting models is important in understanding the transition from the raw to the innovative model of the economy. The aim of the study is to analyze and evaluate the different innovation demand forecasting models and the mathem...
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Phan Van Thành DOI: 10.26459/hueuni-jed.v128i5B.4375
Pág. 13?21
Abstract: On the basis of the grey prediction models, this study uses the previous data (from 1980 to 2014) from the website of the World Bank and applies two algorithm models to forecast the electricity consumption in Vietnam. The simulation results sho...
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Viktor Kosenko, Viktors Gopejenko, Elena Persiyanova
Pág. 59 - 68
The subject matter of the study is the processes of planning supply logistics taking into account swings in demand and prices for products. The goal is to develop models and applied information technology for managing enterprise supplies taking into cons...
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Youngmin Seo, Soonmyeong Kwon and Yunyoung Choi
Accurate water demand forecasting is essential to operate urban water supply facilities efficiently and ensure water demands for urban residents. This study proposes an extreme learning machine (ELM) coupled with variational mode decomposition (VMD) for ...
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Chandadevi Giri and Yan Chen
Compared to other industries, fashion apparel retail faces many challenges in predicting future demand for its products with a high degree of precision. Fashion products? short life cycle, insufficient historical information, highly uncertain market dema...
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