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All Outputs (7)

Online machine learning of available capacity for vehicle-to-grid services during the coronavirus pandemic (2021)
Journal Article

Vehicle-to-grid services make use of the aggregated capacity available from a fleet of vehicles to participate in energy markets, help integrate renewable energy in the grid and balance energy use. In this paper, the critical components of such a ser... Read More about Online machine learning of available capacity for vehicle-to-grid services during the coronavirus pandemic.

Improving building thermal performance through an integration of Passivhaus envelope and shading in a tropical climate (2021)
Journal Article

Due to the success of the energy-efficient Passivhaus building envelope and its principles in regulating indoor thermal comfort in European climates, the potential implementation of it in other climates has been subjected to much attention in recent... Read More about Improving building thermal performance through an integration of Passivhaus envelope and shading in a tropical climate.

Comfort within budget: Assessing the cost-effectiveness of envelope improvements in single-family affordable housing (2021)
Journal Article

In Brazil, the delivery of homes for low-income households is dictated by costs rather than performance. Issues such as the impact of climate change, affordability of operational energy use, and lack of energy security are not taken into account, eve... Read More about Comfort within budget: Assessing the cost-effectiveness of envelope improvements in single-family affordable housing.

We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network (2021)
Journal Article

© 2021 Elsevier Ltd Vehicle-to-grid (V2G) services utilise a population of electric vehicle batteries to provide the aggregated capacity required to participate in power and energy markets. Such participation relies on the prediction of available cap... Read More about We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network.