Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
acm.org

From Prediction to Intervention: Integrating Counterfactual Reasoning into AI Decision-Making

The analysts working on AI projects have a crucial question: How will the interventions brought about by the AI cause the desired outcomes? To date, only about 20% of companies have managed to scale ...
GitHub

DL-MPC: A toolbox for deep learning-based nonlinear model predictive control

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...
IEEE

Export of explicit model predictive control to python

Abstract: This paper shows how explicit model predictive control (MPC) strategies can be implemented in Python. They use a pre-calculated map between state measurements and control inputs to simplify ...
GitHub

Model predictive control python toolbox

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient formulation and solution of control and ...
Frontiers

Optimizing HVAC systems with model predictive control: integrating ontology-based semantic models for energy efficiency and comfort

Building systems are dynamic and non-linear. In HVAC systems, independently controlled modules interact, creating complex interdependencies that challenge optimizing energy savings and thermal comfort ...
TechRepublic

10 Best Predictive Analytics Tools and Software

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.
IEEE

A Longitudinal/Lateral Coupled Neural Network Model Predictive Controller for Path Tracking of Self-Driving Vehicle

Abstract: In recent years, the model predictive control (MPC) algorithm has been increasingly applied to the path tracking of self-driving vehicles due to its capacity to deal with dynamic constraints ...