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Tomás Ochoa
Tomás Ochoa
PhD Candidate at Imperial College London
Verified email at ic.ac.uk
Title
Cited by
Cited by
Year
Multi-agent deep reinforcement learning for efficient multi-timescale bidding of a hybrid power plant in day-ahead and real-time markets
T Ochoa, E Gil, A Angulo, C Valle
Applied Energy 317, 119067, 2022
162022
Addressing the effects of climate change on modeling future hydroelectric energy production in Chile
E Gil, Y Morales, T Ochoa
Energies 14 (1), 241, 2021
82021
A Four Parameter Distribution Family for Probabilistic Load Forecasting and Scenario Generation with Mixture Density Networks
T Ochoa, C Serpell, E Gil, C Valle
2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023
2023
Efficient Bidding of a PV Power Plant with Energy Storage Participating in Day-Ahead and Real-Time Markets Using Artificial Neural Networks
T Ochoa, E Gil, A Angulo
2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022
2022
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Articles 1–4