REVISTA

Forecasting

ISSN: 2571-9394 Frecuencia: 4 Formato: Electrónica

Tablas de contenido

19 artículos asociados

Volumen 5 Número 0 Parte 1 Año 2023

Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil	Acceso
Florin Aliu, Jirí Kucera and Simona Ha?ková

Methodology for Optimizing Factors Affecting Road Accidents in Poland	Acceso
Piotr Gorzelanczyk and Henryk Tylicki

Time Series Dataset Survey for Forecasting with Deep Learning	Acceso
Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen

Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies	Acceso
Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva

Assessing Spurious Correlations in Big Search Data	Acceso
Jesse T. Richman and Ryan J. Roberts

Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production	Acceso
Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol

Intervention Time Series Analysis and Forecasting of Organ Donor Transplants in the US during the COVID-19 Era	Acceso
Supraja Malladi and Qiqi Lu

A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks	Acceso
Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli

Editorial for Special Issue: ?Tourism Forecasting: Time-Series Analysis of World and Regional Data?	Acceso
João Paulo Teixeira and Ulrich Gunter

On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles	Acceso
Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin

Global Solar Radiation Forecasting Based on Hybrid Model with Combinations of Meteorological Parameters: Morocco Case Study	Acceso
Brahim Belmahdi, Mohamed Louzazni, Mousa Marzband and Abdelmajid El Bouardi

Acknowledgment to the Reviewers of Forecasting in 2022	Acceso
Forecasting Editorial Office

Coffee as an Identifier of Inflation in Selected US Agglomerations	Acceso
Marek Vochozka, Svatopluk Janek and Zuzana Rowland

Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India	Acceso
Ansari Saleh Ahmar, Pawan Kumar Singh, R. Ruliana, Alok Kumar Pandey and Stuti Gupta

Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States	Acceso
Bowen Long, Fangya Tan and Mark Newman

Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data	Acceso
Venera Timiryanova, Irina Lakman, Vadim Prudnikov and Dina Krasnoselskaya

Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices	Acceso
Silvia Golia, Luigi Grossi and Matteo Pelagatti

Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications	Acceso
Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed

Extracting Statistical Properties of Solar and Photovoltaic Power Production for the Scope of Building a Sophisticated Forecasting Framework	Acceso
Joseph Ndong and Ted Soubdhan