Energy consumption prediction model with deep inception residual network inspiration and LSTM

DOI10.1016/J.MATCOM.2021.05.006OpenAlexW3162319943MaRDI QIDQ2666225

Abdulwahed Salam, Abdelaaziz El Hibaoui

Publication date: 22 November 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2021.05.006

zbMATH Keywords

predictionmachine learningdeep learningpower production and consumption

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Computer science (68-XX)

Uses Software

• Keras
• Inception-v4

Cites Work

• Unnamed Item
• An artificial neural network-based forecasting model of energy-related time series for electrical grid management
• Deep learning-based forecasting of aggregated CSP production
• Complex domain backpropagation

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