APA (7th ed.) Citation

Li, W., & Becker, D. M. (2021). Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling. Energy (Oxford), 237, 121543. https://doi.org/10.1016/j.energy.2021.121543

Chicago Style (17th ed.) Citation

Li, Wei, and Denis Mike Becker. "Day-ahead Electricity Price Prediction Applying Hybrid Models of LSTM-based Deep Learning Methods and Feature Selection Algorithms Under Consideration of Market Coupling." Energy (Oxford) 237 (2021): 121543. https://doi.org/10.1016/j.energy.2021.121543.

MLA (9th ed.) Citation

Li, Wei, and Denis Mike Becker. "Day-ahead Electricity Price Prediction Applying Hybrid Models of LSTM-based Deep Learning Methods and Feature Selection Algorithms Under Consideration of Market Coupling." Energy (Oxford), vol. 237, 2021, p. 121543, https://doi.org/10.1016/j.energy.2021.121543.