Forecasting airport passenger traffic: the case of Hong Kong International Airport [PDF]
Hong Kong International Airport is one of the main gateways to Mainland China and the major aviation hub in Asia. An accurate airport traffic demand forecast allows for short and long-term planning and decision making regarding airport facilities and ...
Balli, Hatice Ozer +2 more
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A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks [PDF]
Shared bikes, as an eco-friendly transport mode, facilitate short commutes for urban dwellers and help alleviate traffic. However, the prevalent station-based strategy for bike placements often overlooks urban zones, cycling patterns, and more, resulting
Chaoran Zhou +4 more
doaj +2 more sources
The research work is based on the analysis of demand in a tourism company using mathematical models. The methodology design presents a correlational and descriptive scope where the company's sales are collected to calculate the mean absolute percentage error in demand.
Ludeña Roman, Sayuri Arleth Renatta +2 more
openaire +2 more sources
Long-Term Load Forecasting Considering Volatility Using Multiplicative Error Model
Long-term load forecasting plays a vital role for utilities and planners in terms of grid development and expansion planning. An overestimate of long-term electricity load will result in substantial wasted investment in the construction of excess power ...
Khuntia, Swasti R. +2 more
core +1 more source
As the distribution of indoor contaminants is often heterogeneous, the traditional Wells–Riley equation is inadequate for accurately assessing the infection risk to indoor personnel.
Chonggang Zhou, Yunfei Ding
doaj +1 more source
NeuroSVM: A Graphical User Interface for Identification of Liver Patients [PDF]
Diagnosis of liver infection at preliminary stage is important for better treatment. In todays scenario devices like sensors are used for detection of infections.
Nagaraj, Kalyan, Sridhar, Amulyashree
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Performances of non-linear smooth transition autoregressive and linear autoregressive models in forecasting the Ringgit-Yen rate [PDF]
This study compares the performance of Smooth Transition Autoregressive (STAR) non-linear model and the conventional linear Autoregressive (AR) time series model in forecasting the Ringgit-Yen rate.
Baharumshah, Ahmad Zubaidi +1 more
core +1 more source
Multiple imputation methods: a case study of daily gold price [PDF]
Data imputation strategies are necessary to address the prevalent difficulty of missing values in data observation and recording operations. This work utilizes diverse imputation methods to forecast and complete absent values inside a financial time ...
Ala Alrawajfi +4 more
doaj +2 more sources
EVALUATING THE USE OF FUTURES PRICES TO FORECAST THE FARM LEVEL U.S. CORN PRICE [PDF]
A model is developed using bases, marketing weights, and a composite of monthly futures and cash prices to forecast a season-average U.S. farm price for corn.
Beachler, Michael, Hoffman, Linwood A.
core +1 more source
PENERAPAN PERAMALAN PENJUALAN (SALES FORECAST) TAS RANSEL (CARRIER) SERI EIGER CLASSIC DYNO 75L SEBAGAI DASAR PENYUSUNAN PERENCANAAN PRODUKSI PADA PT. EIGERINDO MULTI PRODUK INDUSTRI [PDF]
ABSTRAK Penelitian ini bertujuan untuk membandingkan peramalan penjualan, dan perencanaan produksi versi perusahaan dengan versi metode – metode yang digunakan secara kuantitatif. PT.
Pembimbing I, Wasito., SE.,MSIE +1 more
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