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Editorial for Special Issue: “Feature Papers of Forecasting 2021”

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  • Sonia Leva

    (Department of Energy, Politecnico di Milano, 20156 Milano, Italy)

Abstract

The human capability to react or adapt to upcoming changes strongly relies on the ability to forecast them [...]

Suggested Citation

  • Sonia Leva, 2022. "Editorial for Special Issue: “Feature Papers of Forecasting 2021”," Forecasting, MDPI, vol. 4(1), pages 1-3, March.
    • Handle: RePEc:gam:jforec:v:4:y:2022:i:1:p:18-337:d:763790
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    References listed on IDEAS

    as
    1. Alfredo Nespoli & Andrea Matteri & Silvia Pretto & Luca De Ciechi & Emanuele Ogliari, 2021. "Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods," Forecasting, MDPI, vol. 3(4), pages 1-19, September.
    2. Roberto Vega & Leonardo Flores & Russell Greiner, 2022. "SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting," Forecasting, MDPI, vol. 4(1), pages 1-23, January.
    3. Daniel Ramos & Mahsa Khorram & Pedro Faria & Zita Vale, 2021. "Load Forecasting in an Office Building with Different Data Structure and Learning Parameters," Forecasting, MDPI, vol. 3(1), pages 1-14, March.
    4. Michael Chaiton & Jolene Dubray & G. Emmanuel Guindon & Robert Schwartz, 2021. "Tobacco Endgame Simulation Modelling: Assessing the Impact of Policy Changes on Smoking Prevalence in 2035," Forecasting, MDPI, vol. 3(2), pages 1-9, April.
    5. Pavlos Nikolaidis & Harris Partaourides, 2021. "A Model Predictive Control for the Dynamical Forecast of Operating Reserves in Frequency Regulation Services," Forecasting, MDPI, vol. 3(1), pages 1-14, March.
    6. Fotios Petropoulos & Evangelos Spiliotis, 2021. "The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting," Forecasting, MDPI, vol. 3(3), pages 1-20, June.
    7. Kejin Wu & Sayar Karmakar, 2021. "Model-Free Time-Aggregated Predictions for Econometric Datasets," Forecasting, MDPI, vol. 3(4), pages 1-14, December.
    8. Ali Muhamed Ali & Hanqi Zhuang & James VanZwieten & Ali K. Ibrahim & Laurent Chérubin, 2021. "A Deep Learning Model for Forecasting Velocity Structures of the Loop Current System in the Gulf of Mexico," Forecasting, MDPI, vol. 3(4), pages 1-20, December.
    9. Eren Bas & Erol Egrioglu & Ufuk Yolcu, 2021. "Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm," Forecasting, MDPI, vol. 3(4), pages 1-11, November.
    10. Peter L. Watson & Marika Koukoula & Emmanouil Anagnostou, 2021. "Influence of the Characteristics of Weather Information in a Thunderstorm-Related Power Outage Prediction System," Forecasting, MDPI, vol. 3(3), pages 1-20, August.
    11. Sonia Leva, 2021. "Editorial for Special Issue: “Feature Papers of Forecasting”," Forecasting, MDPI, vol. 3(1), pages 1-3, February.
    12. Aida Boudhaouia & Patrice Wira, 2021. "A Real-Time Data Analysis Platform for Short-Term Water Consumption Forecasting with Machine Learning," Forecasting, MDPI, vol. 3(4), pages 1-13, September.
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