Encontrados 6 documentos, a visualizar página 1 de 1
A neural network based intelligent predictive sensor for cloudiness, solar radi...
Ferreira, P. M.; Gomes, João M.; Martins, I.; Ruano, A. E.Accurate measurements of global solar radiation and atmospheric temperature, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight and portable sensor was developed, using artificial neural network m...
A neural network based intelligent predictive sensor for cloudiness, solar radi...
Ferreira, P. M.; Gomes, João M.; Martins, I.; Ruano, A. E.Accurate measurements of global solar radiation and atmospheric temperature, as well as the availability of the predictions of their evolution over time, are important for different areas of applications, such as agriculture, renewable energy and energy management, or thermal comfort in buildings. For this reason, an intelligent, light-weight and portable sensor was developed, using artificial neural network mo...
Cloudspotter
Gomes, João M.; Ferreira, P. M.; Ruano, A. E.Devido a uma crescente consciência ambiental, a nível global, têm vindo a fazer-se inúmeros esforços para reduzir o consumo energético e, consequentemente, a pegada de carbono deixada pela população mundial.
Intelligent predictive control for thermal comfort and energy savings in public...
Ruano, A. E.This talk addresses the problem of controlling a heating ventilating and air conditioning system with the purpose of achieving a desired thermal comfort level and energy savings. The formulation uses the thermal comfort, assessed using the predicted mean vote (PMV) index, as a restriction and minimises the energy spent to comply with it. This results in the maintenance of thermal comfort and on the minimisa...
Utilização inteligente de energia em edifícios públicos
Ruano, A. E.; Ferreira, P. M.; Conceição, EusébioNos países da UE, o consumo de energia em edifícios representa cerca de 40% do consumo total de energia. Em alguns países, metade desta energia é gasta em climatização.
Neural network models in greenhouse air temperature prediction
Ferreira, P. M.; Faria, E. A.; Ruano, A. E.The adequacy of radial basis function neural networks to model the inside air temperature of a hydroponic greenhouse as a function of the outside air temperature and solar radiation, and the inside relative humidity, is addressed. As the model is intended to be incorporated in an environmental control strategy both off-line and on-line methods could be of use to accomplish this task. In this paper known hybrid ...
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