Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 13, 2024EnergiesOpen Access

Intraday Electricity Price Forecasting via LSTM and Trading Strategy for the Power Market: A Case Study of the West Denmark DK1 Grid Region

View Full Paper
Ask AI
Bookmark
Share

Authors

DKDeniz Kenan KılıçMiddle East Technical UniversityPNPeter NielsenAalborg UniversityATAmila ThibbotuwawaUniversity of Moratuwa

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Kılıç et al. (2024) studied this question.

synapsesocial.com/papers/68e64d72b6db6435875de344https://doi.org/10.3390/en17122909
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Electricity price forecasting: A review of the state-of-the-art with a look into the future2014 · 1,647 citations
  2. 2Wind power forecasting using ensemble learning for day-ahead energy trading2022 · 46 citations
  3. 3An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks2018 · 199 citations
  4. 4Wind power intermittency and the balancing power market: Evidence from Denmark2021 · 24 citations
  5. 5A Deep Learning Based Hybrid Framework for Day-Ahead Electricity Price Forecasting2020 · 105 citations