Particle based Optimization for Predictive Energy Efficient Data Center Management. - A. Daniel Carnerero; Daniel R. Ramírez 001; Daniel Limón; Teodoro Alamo (CDC, 2020)

Stock Forecasting Using Local Data. - Gerardo Alfonso; A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (IEEE Access, 2021)

Receding Horizon Optimization of Large Trade Orders. - Gerardo Alfonso; A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (IEEE Access, 2021)

Kernel based State-Space Kriging: Application to predictive control. - A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (CDC, 2022)

State-Space Kriging: A Data-Driven Method to Forecast Nonlinear Dynamical Systems. - A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (IEEE Control. Syst. Lett., 2022)

Probabilistic Interval Predictor Based on Dissimilarity Functions. - A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo (IEEE Trans. Autom. Control., 2022)

Probabilistically Certified Management of Data Centers Using Predictive Control. - A. Daniel Carnerero; Daniel R. Ramírez 001; Teodoro Alamo; Daniel Limón (IEEE Trans Autom. Sci. Eng., 2022)

Kernel-Based State-Space Kriging for Predictive Control. - A. Daniel Carnerero; Daniel R. Ramírez 001; Daniel Limón; Teodoro Alamo (IEEE CAA J. Autom. Sinica, 2023)

A data-driven CLF controller based on a kriged predictor. - A. Daniel Carnerero; Daniel R. Ramírez 001; Takeshi Hatanaka; Teodoro Alamo (CDC, 2024)

Net-Zero Energy House-Oriented Linear Programming for the Sizing Problem of Photovoltaic Panels and Batteries. - A. Daniel Carnerero; Taichi Tanaka; Mengmou Li; Takeshi Hatanaka; Yasuaki Wasa; Kenji Hirata; Yoshiaki Ushifusa; Takanori Ida (IEEE Access, 2024)

ZEH-oriented Linear Programming for the Sizing Problem of Photovoltaic Panels and Batteries. - A. Daniel Carnerero; Taichi Tanaka; Mengmou Li; Takeshi Hatanaka; Yasuaki Wasa; Kenji Hirata; Yoshiaki Ushifusa; Takanori Ida (CoRR, 2024)