APA (7th ed.) Citation

Jiang, Y., Dong, J., & Huang, H. (2024). Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm. Energy (Oxford), 306, 132388. https://doi.org/10.1016/j.energy.2024.132388

Chicago Style (17th ed.) Citation

Jiang, Yuzheng, Jun Dong, and Hexiang Huang. "Optimal Bidding Strategy for the Price-maker Virtual Power Plant in the Day-ahead Market Based on Multi-agent Twin Delayed Deep Deterministic Policy Gradient Algorithm." Energy (Oxford) 306 (2024): 132388. https://doi.org/10.1016/j.energy.2024.132388.

MLA (9th ed.) Citation

Jiang, Yuzheng, et al. "Optimal Bidding Strategy for the Price-maker Virtual Power Plant in the Day-ahead Market Based on Multi-agent Twin Delayed Deep Deterministic Policy Gradient Algorithm." Energy (Oxford), vol. 306, 2024, p. 132388, https://doi.org/10.1016/j.energy.2024.132388.