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On the Use of Functional Additive Models for Electricity Demand and Price Prediction

  • Published:2018 Issue: Volume:6 Page:9603-9613
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Rana PaulaORCID,Vilar Juan,Aneiros Germen

Funder

Spanish Ministerio de Economía y Competitividad

Xunta de Galicia through Centro Singular de Investigación de Galicia accreditation

Grupos de Referencia Competitiva

European Union (European Regional Development Fund)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 11 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. From Time-Series to Hybrid Models: Advancements in Short-Term Load Forecasting Embracing Smart Grid Paradigm;Applied Sciences;2024-05-23

3. Improving boosting methods with a stable loss function handling outliers;International Journal of Machine Learning and Cybernetics;2023-01-19

4. Data-driven Two-step Day-ahead Electricity Price Forecasting Considering Price Spikes;Journal of Modern Power Systems and Clean Energy;2023

5. Usage of Ensemble Regression Technique for Product Price Prediction;2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA);2022-09-21
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