Hybridization of hybrid structures for time series forecasting: a review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-022-10199-0.pdf
Reference369 articles.
1. Abdollahi H, Ebrahimi SB (2020) A new hybrid model for forecasting Brent crude oil price. Energy 200.
2. Abuella M, Chowdhury B (2019) Forecasting of solar power ramp events: a post-processing approach. Renew Energy 133:1380–1392
3. Adedeji PA, Akinlabi S, Madushele N, Olatunji OO (2020) Wind turbine power output short-term forecast: a comparative study of data clustering techniques in a PSO-ANFIS model. J Clean Prod 254:120135
4. Ahmed R, Sreeram V, Mishra Y, Arif MD (2020) A review and evaluation of the state-of-the-art in PV solar power forecasting: techniques and optimization. Renew Sustain Energy Rev 124:109792
5. Akbal B (2018) Applications of artificial intelligence and hybrid neural network methods with new bonding method to prevent electroshock risk and insulation faults in high-voltage underground cable lines. Neural Comput Appl 29:97–105
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