Accurate short-term GHI forecasting using a novel temporal convolutional network model-Reference-Cited by-同舟云学术

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Accurate short-term GHI forecasting using a novel temporal convolutional network model

Published:2024-09 Issue: Volume:9 Page:100667
ISSN:2772-6711
Container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy
language:en
Short-container-title:e-Prime - Advances in Electrical Engineering, Electronics and Energy

Author:

Elmousaid Rachida,Drioui Nissrine,Elgouri Rachid,Agueny Hicham^ORCID,Adnani Younes

Publisher

Elsevier BV

Reference61 articles.

1. Least cost analysis of bulk energy storage for deep decarbonized power system with increased share of renewable energy;Ashfaq;Electr. Power Syst. Res.,2023

2. Comparing the role of long duration energy storage technologies for zero-carbon electricity systems;Ashfaq;IEEE Access,2024

3. Solar energy: potential and future prospects;Kabir;Renew. Sustain. Energy Rev.,2018

4. Forecasting of solar energy with application for a growing economy like India: survey and implication;Mohanty;Renew. Sustain. Energy Rev.,2017

5. Deep learning models for solar irradiance forecasting: a comprehensive review;Kumari;J. Clean. Prod.,2021

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1. Ultra-short-term global horizontal irradiance forecasting based on a novel and hybrid GRU-TCN model;Results in Engineering;2024-09

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