Our Energy division specializes in the development of renewable energies. We have an international presence and delegations in Spain and Argentina.
We promote the development of renewable energies throughout the world, helping our clients to generate competitive advantages and manage their projects based on artificial intelligence approaches.
We use advanced analytics methodologies to provide a differentiation factor through the development of optimization models based on artificial intelligence.
We are committed to sustainable development goals that generate a positive impact on society and the environment through the IA for Good program.
Nuestra división Energy se especializa en el desarrollo de las energías renovables. Contamos con presencia internacional y delegaciones en España y Argentina.
Promovemos el desarrollo de las energías renovables en todo el mundo, ayudando a nuestros clientes a generar ventajas competitivas y gestionar sus proyectos a partir de enfoques de inteligencia artificial.
Utilizamos metodologías de analítica avanzada para aportar un factor de diferenciación a través del desarrollo de modelos de optimización basados en la inteligencia artificial.
Estamos comprometidos con los objetivos de desarrollo sostenible que generan un impacto positivo en la sociedad y el medio ambiente a través del programa IA for Good.
"It produces immense sadness to think that nature speaks while the human race does not listen to it."
Wind Energy Services
Preliminary Site Study | Mesoscale | Wind Resource Measurement Campaign | Micrositing and Optimization | Engineering and Environmental Impact | Due Diligence | Connection to the Electric Grid | Economic financial analysis.
Wind Farm Layout Optimization: Genetic Algorithms, PSO, CMAE, Differential Evolution, Gradient Descent, Pattern Search & Simulation Annealing.
Uncertainty Management Models: Classification and Regression, Forecasting, Clustering, Neural Networks, Decision Trees, Random Forest, Noise Reduction.
Design optimization of wind farms including Environmental and Ecological variables: Sustainability, Climate Change, CO2 management, Landscape, Flora and Fauna, etc.
We combine different optimization methodologies applied to complex problems
Pattern Search & Simulation Annealing
Particle Swarm Optimization (PSO)
Covariance Matrix adaptation evolutionary strategy (CMAE)
IA for Good We collaborate with sustainable development projects
We contribute to the sustainable development goals by generating initiatives based on artificial intelligence. Our IA for good program collaborates with the 17 sustainable development goals developed by the WHO.
DATA-DRIVEN MODELS APPLIED TO WIND ENERGY
WE HELP OUR CLIENTS FACE REAL CHALLENGES IN WIND POWER PROJECTS THROUGH THE CONSTRUCTION OF ENERGY OPTIMIZATION MODELS
PRESCRIPTIVE & PREDICTIVE MODELLING | MACHINE LEARNING | DEEP LEARNING | COGNITIVE INTELLIGENCE | NATURAL LANGUAGE PROCESSING & TEXT MINING | COMPUTER VISION | CONTROL SISTEM | INTEGRATED DECISION MAKING | REAL TIME OPTIMIZACIÓN | ETC.
FOUNDER - SPECIALIST IN DECISION-DATA SCIENCE & ADVANCED ANALYTICS
Matías is a specialist in Decision-Data Science and Advanced Analytics.
Throughout his career, he has led consulting projects advising the main Fortune 500 companies such as Santander, Pfizer, YPF, Codelco, Unilever, Mattel, Coca-Cola, among others.
He is also a university professor in subjects related to Decision Making, Uncertainty and Complexity Management, Linear Algebra, Differential Calculus and Business Mathematics, in academic institutions in the public and private spheres, among which the Complutense University of Madrid (UCM) stands out. ) and the University of Buenos Aires (UBA).
Matías has also been the winner in Madrid of the NASA Space Apps Challenge 2020, the largest hackathon in the world, where thousands of teams worldwide work to solve challenges proposed by NASA scientists and engineers.
INDUSTRIAL ENGINEER. SPECIALIST IN ADVANCED ANALYTICS MODELS APPLIED TO ENGINEERING
Miguel is a specialist in the development of advanced analytics models with extensive experience in the development of engineering projects.
He has led engineering projects focused on the optimization and improvement of results and renewable energies.
He is a senior industrial engineer from the University of Las Palmas de Gran Canaria and a university professor in the Mathematics area of knowledge at the Complutense University of Madrid (UCM).
Miguel has been a professor at the School of Industrial and Civil Engineering at the University of Las Palmas de Gran Canaria and has taught numerous training courses on Renewable Energies and Aerospace Techniques.