Forecasting Nordic electricity spot price using deep learning networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08734-3.pdf
Reference51 articles.
1. Azadeh A, Ghaderi SF, Tarverdian S, Saberi M (2007) Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption. Appl Math Comput 186(2):1731–1741
2. Azadeh A, Saberi M, Anvari M, Azaron A, Mohammadi M (2011) An adaptive network based fuzzy inference system-genetic algorithm clustering ensemble algorithm for performance assessment and improvement of conventional power plants. Expert Syst Appl 38(3):2224–2234
3. Belhaouari SB, Raissouli H (2021) MADL: a multilevel architecture of deep learning. Int J Comput Intell Syst 14(1):693–700
4. Benth FE, Kallsen J, Meyer-Brandis T (2007) A non-Gaussian Ornstein-Uhlenbeck process for electricity spot price modeling and derivatives pricing. Appl Math Finance 14(2):153–169
5. Chae YT, Horesh R, Hwang Y, Lee YM (2016) Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings. Energy Build 111:184–194
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