REVISTA

Forecasting

ISSN: 2571-9394 Frecuencia: 4 Formato: Electrónica

Tablas de contenido

16 artículos asociados

Volumen 3 Número 0 Parte 4 Año 2021

A Deep Learning Model for Forecasting Velocity Structures of the Loop Current System in the Gulf of Mexico	Acceso
Ali Muhamed Ali, Hanqi Zhuang, James VanZwieten, Ali K. Ibrahim and Laurent Chérubin

Model-Free Time-Aggregated Predictions for Econometric Datasets	Acceso
Kejin Wu and Sayar Karmakar

Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests	Acceso
Ulrich Gunter

COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism	Acceso
Maksim Godovykh, Jorge Ridderstaat, Carissa Baker and Alan Fyall

Forecasting with Machine Learning Techniques	Acceso
Walayat Hussain, Asma Musabah Alkalbani and Honghao Gao

Landslide Forecast by Time Series Modeling and Analysis of High-Dimensional and Non-Stationary Ground Motion Data	Acceso
Guoqi Qian, Antoinette Tordesillas and Hangfei Zheng

Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm	Acceso
Eren Bas, Erol Egrioglu and Ufuk Yolcu

Different Forecasting Horizons Based Performance Analysis of Electricity Load Forecasting Using Multilayer Perceptron Neural Network	Acceso
Manogaran Madhiarasan and Mohamed Louzazni

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg	Acceso
Dean Fantazzini, Julia Pushchelenko, Alexey Mironenkov and Alexey Kurbatskii

Assessing Goodness of Fit for Verifying Probabilistic Forecasts	Acceso
Tae-Ho Kang, Ashish Sharma and Lucy Marshall

Examining Deep Learning Architectures for Crime Classification and Prediction	Acceso
Panagiotis Stalidis, Theodoros Semertzidis and Petros Daras

Bayesian Forecasting of Dynamic Extreme Quantiles	Acceso
Douglas E. Johnston

On the Autoregressive Time Series Model Using Real and Complex Analysis	Acceso
Torsten Ullrich

Deterministic-Probabilistic Approach to Predict Lightning-Caused Forest Fires in Mounting Areas	Acceso
Nikolay Baranovskiy

A Real-Time Data Analysis Platform for Short-Term Water Consumption Forecasting with Machine Learning	Acceso
Aida Boudhaouia and Patrice Wira

Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods	Acceso
Alfredo Nespoli, Andrea Matteri, Silvia Pretto, Luca De Ciechi and Emanuele Ogliari