Predicting Power Deviation in the Turkish Power Market Based on Adaptive Factor Impacts-Reference-Cited by-同舟云学术

Predicting Power Deviation in the Turkish Power Market Based on Adaptive Factor Impacts

Published:2021 Issue: Volume: Page:213-234
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
Short-container-title:

Author:

Guven Denizhan^ORCID,Ozozen Avni^ORCID,Kayakutlu Gülgün^ORCID,Kayalica M. Ozgur^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80847-1_14

Reference40 articles.

1. Weron, R.: Electricity price forecasting: a review of the state-of-the-art with a look into the future. Int. J. Forecast. 30(4), 10 (2014)

2. Lago, J., Poplavskaya, K., Suryanarayana, G., De Schutter, B.: A market framework for grid balancing support through imbalances trading. Renew. Sustain. Energy Rev. 137, 110467 (2020)

3. Schillinger, M.: Balancing-market design and opportunity cost: the Swiss case. Util. Policy 64, 101045 (2020)

4. Nobel, F.A.: On balancing market design. Technische Universiteit Eindhoven: Eindhoven, The Netherlands (2016)

5. [Data] EXIST- Energy Exchange Istanbul: Real Time Generation, 01 January 2020–31 December 2020. https://seffaflik.epias.com.tr/transparency/uretim/gerceklesen-uretim/gercek-zamanli-uretim.xhtml. Accessed 29 Jan 2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of multi-model ensembles using tree-based machine learning methods to assess the future renewable energy potential: case of the East Thrace, Turkey;Environmental Science and Pollution Research;2023-07-08

2. Grid Imbalance Prediction Using Particle Swarm Optimization and Neural Networks;IFIP Advances in Information and Communication Technology;2022