Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Carlos Ocampo-Martínez
Gaussian-Process-Based Demand Forecasting for Predictive Control of Drinking Water Networks
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Model Predictive Control of Water Networks Considering Flow
Advances in Industrial Control
Control
Systems Engineering
Industrial
Automotive Engineering
Manufacturing Engineering
Aerospace Engineering
Related publications
Gaussian Process Model Based Predictive Control
Cautious Model Predictive Control Using Gaussian Process Regression
IEEE Transactions on Control Systems Technology
Control
Systems Engineering
Electrical
Electronic Engineering
Adaptive, Cautious, Predictive Control With Gaussian Process Priors
IFAC Proceedings Volumes
Artificial Neural Networks-Based Econometric Models for Tourism Demand Forecasting
A Service Reliability Model Predictive Control With Dynamic Safety Stocks and Actuators Health Monitoring for Drinking Water Networks
Reliability Importance Measures for a Health-Aware Control of Drinking Water Networks
Comparing Gaussian Processes and Artificial Neural Networks for Forecasting
Estimation of Node Pressures in Water Distribution Networks by Gaussian Process Regression
