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Davide Coraci
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Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
D Coraci, S Brandi, T Hong, A Capozzoli
Applied Energy 333, 120598, 2023
492023
Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings
D Coraci, S Brandi, MS Piscitelli, A Capozzoli
Energies 14 (4), 997, 2021
442021
Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings
D Deltetto, D Coraci, G Pinto, MS Piscitelli, A Capozzoli
Energies 14 (10), 2933, 2021
312021
Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings
D Coraci, S Brandi, A Capozzoli
Energy Conversion and Management 291, 117303, 2023
232023
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems
D Coraci, S Brandi, T Hong, A Capozzoli
Building Simulation, 2024
62024
Energy management of a residential heating system through deep reinforcement learning
S Brandi, D Coraci, D Borello, A Capozzoli
Sustainability in Energy and Buildings 2021, 329-339, 2022
62022
Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control
A Silvestri, D Coraci, S Brandi, A Capozzoli, E Borkowski, J Köhler, D Wu, ...
Applied Energy 368, 123447, 2024
42024
Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control
A Silvestri, D Coraci, D Wu, E Borkowski, A Schlueter
Journal of Physics: Conference Series 2600 (7), 072011, 2023
32023
Effective pre-training of a Deep Reinforcement Learning agent by means of Long Short-Term Memory models for thermal energy management in buildings
D Coraci, S Brandi, A Capozzoli
17th Conference on Sustainable Development of Energy, Water and Environment …, 2022
2022
Adaptive Control Strategies for enhancing energy efficiency and comfort in buildings
D Coraci
Politecnico di Torino, 2020
2020
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