Forecasting

2018 - 2025

Current editor(s): Ms. Joss Chen

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Volume 2, issue 4, 2020

Bankruptcy Prediction: The Case of the Greek Market pp. 1-21

Angeliki Papana and Anastasia Spyridou

A Hybrid Method for the Run-Of-The-River Hydroelectric Power Plant Energy Forecast: HYPE Hydrological Model and Neural Network pp. 1-19

Emanuele Ogliari, Alfredo Nespoli, Marco Mussetta, Silvia Pretto, Andrea Zimbardo, Nicholas Bonfanti and Manuele Aufiero

Application of a Semi-Empirical Dynamic Model to Forecast the Propagation of the COVID-19 Epidemics in Spain pp. 1-18

Juan Carlos Mora, Sandra Pérez and Alla Dvorzhak

Photovoltaic Output Power Estimation and Baseline Prediction Approach for a Residential Distribution Network with Behind-the-Meter Systems pp. 1-18

Keda Pan, Changhong Xie, Chun Sing Lai, Dongxiao Wang and Loi Lei Lai

Are Issuer Margins Fairly Stated? Evidence from the Issuer Estimated Value for Retail Structured Products pp. 1-23

Janis Bauer, Holger Fink and Eva Stoller

Cost Estimating Using a New Learning Curve Theory for Non-Constant Production Rates pp. 1-23

Dakotah Hogan, John Elshaw, Clay Koschnick, Jonathan Ritschel, Adedeji Badiru and Shawn Valentine

Mean Field Bias-Aware State Updating via Variational Assimilation of Streamflow into Distributed Hydrologic Models pp. 1-23

Haksu Lee, Haojing Shen and Dong-Jun Seo

Sun Position Identification in Sky Images for Nowcasting Application pp. 1-17

Alessandro Niccolai and Alfredo Nespoli

Valuation Models Applied to Value-Based Management—Application to the Case of UK Companies with Problems pp. 1-17

Marcel Ausloos

Volume 2, issue 3, 2020

Forecasting of Future Flooding and Risk Assessment under CMIP6 Climate Projection in Neuse River, North Carolina pp. 1-23

Indira Pokhrel, Ajay Kalra, Md Mafuzur Rahaman and Ranjeet Thakali

Time Series Analysis of Forest Dynamics at the Ecoregion Level pp. 1-23

Olga Rumyantseva, Andrey Sarantsev and Nikolay Strigul

Bus Travel Time: Experimental Evidence and Forecasting pp. 1-14

Antonio Comi and Antonio Polimeni

Benchmarking Real-Time Streamflow Forecast Skill in the Himalayan Region pp. 1-18

Ganesh R. Ghimire, Sanjib Sharma, Jeeban Panthi, Rocky Talchabhadel, Binod Parajuli, Piyush Dahal and Rupesh Baniya

An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases pp. 1-18

Patrizio Vanella, Philipp Deschermeier and Christina B. Wilke

A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine-Learning Approach pp. 1-17

Alireza Rezazadeh

Are Combined Tourism Forecasts Better at Minimizing Forecasting Errors? pp. 1-19

Ulrich Gunter, Irem Önder and Egon Smeral

Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin pp. 1-19

Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam

Forecasting Social Conflicts in Africa Using an Epidemic Type Aftershock Sequence Model pp. 1-25

Gilian van den Hengel and Philip Hans Franses

Volume 2, issue 2, 2020

Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India pp. 1-26

Alen Shrestha, Md Mafuzur Rahaman, Ajay Kalra, Rohit Jogineedi and Pankaj Maheshwari

Assessment of Direct Normal Irradiance Forecasts Based on IFS/ECMWF Data and Observations in the South of Portugal pp. 1-21

João Perdigão, Paulo Canhoto, Rui Salgado and Maria João Costa

Dynamic Modeling of Power Outages Caused by Thunderstorms pp. 1-12

Berk A. Alpay, David Wanik, Peter Watson, Diego Cerrai, Guannan Liang and Emmanouil Anagnostou

Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis pp. 1-28

Stelios Bekiros and Christos Avdoulas

Performance Comparison between Deep Learning and Optical Flow-Based Techniques for Nowcast Precipitation from Radar Images pp. 1-17

Marino Marrocu and Luca Massidda

Goes-13 IR Images for Rainfall Forecasting in Hurricane Storms pp. 1-17

Marilu Meza-Ruiz and Alfonso Gutierrez-Lopez

Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique pp. 1-17

Ismail Shah, Hasnain Iftikhar and Sajid Ali

Corporate Foresight and Dynamic Capabilities: An Exploratory Study pp. 1-14

Lisa-Marie Semke and Victor Tiberius

A Comparison of the Qualitative Analytic Hierarchy Process and the Quantitative Frequency Ratio Techniques in Predicting Forest Fire-Prone Areas in Bhutan Using GIS pp. 1-23

Kinley Tshering, Phuntsho Thinley, Mahyat Shafapour Tehrany, Ugyen Thinley and Farzin Shabani

Volume 2, issue 1, 2020

Tuning the Bivariate Meta-Gaussian Distribution Conditionally in Quantifying Precipitation Prediction Uncertainty pp. 1-19

Limin Wu

X-Model: Further Development and Possible Modifications pp. 1-16

Sergei Kulakov

Volume 1, issue 1, 2018

Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming pp. 1-17

Marcos Álvarez-Díaz, Manuel González-Gómez and María Soledad Otero-Giráldez

Fast Univariate Time Series Prediction of Solar Power for Real-Time Control of Energy Storage System pp. 1-14

Mostafa Majidpour, Hamidreza Nazaripouya, Peter Chu, Hemanshu R. Pota and Rajit Gadh

ARIMA Time Series Models for Full Truckload Transportation Prices pp. 1-14

Jason W. Miller

Effects of the Swiss Franc/Euro Exchange Rate Floor on the Calibration of Probability Forecasts pp. 1-23

Brian D. Deaton

Improved Brain Tumor Segmentation via Registration-Based Brain Extraction pp. 1-11

Maxwell Uhlich, Russell Greiner, Bret Hoehn, Melissa Woghiren, Idanis Diaz, Tatiana Ivanova and Albert Murtha

Fourier Analysis of Cerebral Metabolism of Glucose: Gender Differences in Mechanisms of Color Processing in the Ventral and Dorsal Streams in Mice pp. 1-22

Philip C. Njemanze, Mathias Kranz and Peter Brust

Forecasting: A New Open Access Journal Dealing with Time Series Analysis and Forecasting pp. 1-2

Ignacio Rojas

Automatic Grouping in Singular Spectrum Analysis pp. 1-16

Mahdi Kalantari and Hossein Hassani

A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets pp. 1-21

Radhakrishnan Angamuthu Chinnathambi, Anupam Mukherjee, Mitch Campion, Hossein Salehfar, Timothy M. Hansen, Jeremy Lin and Prakash Ranganathan

Oil Market Efficiency under a Machine Learning Perspective pp. 1-12

Athanasia Dimitriadou, Periklis Gogas, Theophilos Papadimitriou and Vasilios Plakandaras

Intracranial Pressure Forecasting in Children Using Dynamic Averaging of Time Series Data pp. 1-12

Akram Farhadi, Joshua J. Chern, Daniel Hirsh, Tod Davis, Mingyoung Jo, Frederick Maier and Khaled Rasheed

Forecasting the Effects of In-Store Marketing on Conversion Rates for Online Shops pp. 1-20

Holger Fink and Yvonne Graf

Quantile Regression and Clustering Models of Prediction Intervals for Weather Forecasts: A Comparative Study pp. 1-20

Ashkan Zarnani, Soheila Karimi and Petr Musilek