Quantile regression averaging‐based probabilistic forecasting of daily ambient temperature-Reference-Cited by-同舟云学术

Quantile regression averaging‐based probabilistic forecasting of daily ambient temperature

Published:2020-11-24 Issue:3 Volume:34 Page:
ISSN:0894-3370
Container-title:International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
language:en
Short-container-title:Int J Numer Model

Author:

Tripathy Debesh S.¹,Prusty B Rajanarayan²^ORCID

Affiliation:

1. Electrical and Electronics Engineering National Institute of Science and Technology Berhampur Odisha India

2. School of Electrical Engineering Vellore Institute of Technology Vellore Tamil Nadu India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jnm.2846

Reference36 articles.

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3. A review of dynamic thermal line rating methods with forecasting;Douglass DA;IEEE Transactions on Power Delivery,2019

4. A sensitivity matrix‐based temperature‐augmented probabilistic load flow study;Prusty BR;IEEE Transactions on Industry Applications,2017

5. Forecast of daily mean, maximum and minimum temperature time series by three artificial neural network methods;Ustaoglu B;Meteorological Applications: A Journal of Forecasting, Practical Applications, Training Techniques and Modelling,2008

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