Abstract: Analysis of the technical and private economic aspects of integrating a large capacity of electric-driven heat pumps in the district heating system of Greater Copenhagen, which a full-fledged district heating system with many consumers and suppliers. Read more Researchers: Juan Miguel Morales, Bjarne Bach, Jesper Werling, Torben Ommen, Marie Münster, Brian Elmegaard Partner: EA …
Abstract: We tackled the problem of a wind power producer participating in a short-term electricity market that allows for the continuous, but potentially illiquid, intraday trading of energy. Considering the case of a wind farm operating in the western Danish price area of Nord Pool, we built an effective algorithm for the wind power …
Renewable energy trading in wholesale electricity markets Leer más »
Abstract: The project dealt with the elaboration of a mathematical algorithm for prediction of the light pollution as a function of the characteristics of the urban environment and lighting. The company IMESAPI provided real measurements of light pollution in cities. Several Machine learning techniques were used to approximate the light pollution, determining the most appropriate …
Modeling of light pollution due to urban lighting networks by Machine Learning techniques Leer más »
Abstract: The project dealt with the elaboration of a mathematical algorithm for prediction of the chlorine concentration in ornamental public fountains. The purpose was to optimize the life of pipes and fountain mechanisms while keeping safe levels of water chlorination. IMESAPI provided real measurements of chorination data. Several Machine learning techniques were used to approximate …
Modeling of chlorination concentration in public fountains by Machine Learning techniques Leer más »
Abstract: The project dealt with the elaboration of a mathematical algorithm for prediction of the perturbation generated in the electric currents in urban lighting networks by regulation devices. These regulators are used to diminish the light intensity at late night hours. However, the theoretical savings in electric energy are limited by the electric perturbations produced …
Abstract: The project dealt with the elaboration of a mathematical algorithm for determination of the facial recognizing distance in urban streets. The algorithm was implemented in an app to find the most secure paths to move in towns by night. Several Machine learning techniques were used to approximate the data of facial recognizing provided by …
Modeling of the facial recognizing distance by Machine Learning techniques Leer más »
