Forecasting Electricity Prices with Historical Statistical Information using Neural Networks and Clustering Techniques-Reference-Cited by-同舟云学术

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Forecasting Electricity Prices with Historical Statistical Information using Neural Networks and Clustering Techniques

Published:2006 Issue: Volume: Page:
ISSN:
Container-title:2006 IEEE PES Power Systems Conference and Exposition
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Short-container-title:

Author:

Azevedo Filipe,Vale Zita

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4075697/4075698/04075716.pdf?arnumber=4075716

Cited by 8 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

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2. Formulation of the Problem of Constructing a Multia-Gent Simulation Model of Pricing Processes in the Electricity Market;Èlektronnoe modelirovanie;2021-06-04

3. A combination approach based on a novel data clustering method and Bayesian recurrent neural network for day-ahead price forecasting of electricity markets;Electric Power Systems Research;2019-03

4. Price forecasting and validation in the Spanish electricity market using forecasts as input data;International Journal of Electrical Power & Energy Systems;2016-05

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