RCADT - Course: Holistic Optimization of Electric and Gas Sector

R-CADT is pleased to invite you to participate in the Course:

Holistic Optimization of Electric and Gas Sector

The course covers the following artificial intelligence methodologies:

PREDICTIVE ARTIFICIAL INTELLIGENCE (Machine Learning):
Framework
Advanced Probabilistic Models
Neural Networks
Support Vector Machine, and
Hybrid Methods (Kalman Filter)

Decision-Making Artificial Intelligence:
Framework
Economics and Optimization
Large-Scale Optimization Methodologies
Mathematical Programming with Equilibrium Constraints
Parallel Optimization
Real-Time Autonomous Distributed Optimization, and
Artificial Brains

VISION:

The course covers two broad areas of Applied Mathematical Programming.
Electricity Systems & Markets Modeling, and
Implementation of Enterprise-Wide Optimization Systems.

Both topics are addressed from HAI's vision of Multi-problem Mathematical Models; in which the development of computer solutions is oriented from the programming of algebraic formulas to the structuring of models, integrating the problems that make it up, as a LEGO game.

The student will learn about the main technologies for the implementation of mathematical programming algorithms and will learn to see them from this point of view, typical of INDUSTRY 4.0.

But it is not a specialized course in algorithm implementation.