Application of Extreme Learning Machine- Autoencoder to Medium Term Electricity Price Forecasting-Reference-Cited by-同舟云学术

Application of Extreme Learning Machine- Autoencoder to Medium Term Electricity Price Forecasting

Published:2023-11 Issue:6 Volume:59 Page:7214-7223
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Najafi Arsalan¹^ORCID,Homaee Omid¹^ORCID,Golshan Mehdi²^ORCID,Jasinski Michal¹^ORCID,Leonowicz Zbigniew¹^ORCID

Affiliation:

1. Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, Wroclaw, Poland

2. Department of Computer Engineering, Sepidan Branch, Islamic Azad University, Sepidan, Iran

Funder

Narodowa Agencja Wymiany Akademickiej

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/10325326/10214317.pdf?arnumber=10214317

Reference34 articles.

1. Forecasting electricity prices for a day-ahead pool-based electric energy market

2. Transfer learning for electricity price forecasting

3. Brain tumour detection in magnetic resonance imaging using Levenberg–Marquardt backpropagation neural network

4. Hybrid Local General Regression Neural Network and Harmony Search Algorithm for Electricity Price Forecasting

5. Forecasting Electricity Spot Prices Accounting for Wind Power Predictions

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