Modeling and forecasting the electricity clearing price : a novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM
Zhen Shao, Qingru Zheng, Shanlin Yang, Fei Gao, Manli Cheng, Qiang Zhang, Chen Liu
| Year of publication: |
2020
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|---|---|
| Authors: | Shao, Zhen ; Zheng, Qingru ; Yang, Shanlin ; Gao, Fei ; Cheng, Manli ; Zhang, Qiang ; Liu, Chen |
| Published in: |
Energy economics. - Amsterdam : Elsevier, ISSN 0140-9883, ZDB-ID 795279-X. - Vol. 86.2020, p. 1-21
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| Subject: | Bayesian extreme learning machine | Deep learning | Electricity market price prediction | Pattern classification | Prognoseverfahren | Forecasting model | Elektrizitätswirtschaft | Electric power industry | Strompreis | Electricity price | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence | Klassifikation | Classification | Bayes-Statistik | Bayesian inference |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.eneco.2019.104648 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012511679