Krishnamoorthy, M.; Raj, P.A.-D.-V.; Subramaniam, N.P.; Sudhakaran, M.; Ramasamy, A.
Design and Development of Optimal and Deep-Learning-Based Demand Response Technologies for Residential Hybrid Renewable Energy Management System. Sustainability 2023, 15, 13773.
https://doi.org/10.3390/su151813773
AMA Style
Krishnamoorthy M, Raj PA-D-V, Subramaniam NP, Sudhakaran M, Ramasamy A.
Design and Development of Optimal and Deep-Learning-Based Demand Response Technologies for Residential Hybrid Renewable Energy Management System. Sustainability. 2023; 15(18):13773.
https://doi.org/10.3390/su151813773
Chicago/Turabian Style
Krishnamoorthy, Murugaperumal, P. Ajay-D-Vimal Raj, N. P. Subramaniam, M. Sudhakaran, and Arulselvi Ramasamy.
2023. "Design and Development of Optimal and Deep-Learning-Based Demand Response Technologies for Residential Hybrid Renewable Energy Management System" Sustainability 15, no. 18: 13773.
https://doi.org/10.3390/su151813773
APA Style
Krishnamoorthy, M., Raj, P. A.-D.-V., Subramaniam, N. P., Sudhakaran, M., & Ramasamy, A.
(2023). Design and Development of Optimal and Deep-Learning-Based Demand Response Technologies for Residential Hybrid Renewable Energy Management System. Sustainability, 15(18), 13773.
https://doi.org/10.3390/su151813773