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Machine learning and robust MPC for frequency regulation with heat pumps., , , , и . CoRR, (2020)Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach., , , , и . CoRR, (2023)Designing Fairness in Autonomous Peer-to-peer Energy Trading., , , , , и . CoRR, (2023)Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes., , , , и . CoRR, (2021)Experimental Validation for Distributed Control of Energy Hubs., , и . CoRR, (2023)Stochastic MPC for energy hubs using data driven demand forecasting., , , , и . CoRR, (2023)Uncertainty-Aware Energy Flexibility Quantification of a Residential Building., , , , и . ISGT EUROPE, стр. 1-6. IEEE, (2023)Controller Tuning by Bayesian Optimization An Application to a Heat Pump., , , , и . ECC, стр. 1467-1472. IEEE, (2019)Experimental implementation of an emission-aware prosumer with online flexibility quantification and provision., и . CoRR, (2021)Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC., , , , , , , и . CoRR, (2021)