All Outputs (2)

Cost, context, or convenience? Exploring the social acceptance of demand response in the United Kingdom (2021)
Journal Article
Naghiyev, E., Shipman, R., Goulden, M., Gillott, M., & Spence, A. (2022). Cost, context, or convenience? Exploring the social acceptance of demand response in the United Kingdom. Energy Research and Social Science, 87, Article 102469. https://doi.org/10.1016/j.erss.2021.102469

The energy sector, and buildings in particular, are one of the main contributors to climate change. Demand-Side Management (DSM) has the potential to realise energy savings on the demand as well as the supply side. However, the domestic sector still... Read More about Cost, context, or convenience? Exploring the social acceptance of demand response in the United Kingdom.

We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network (2021)
Journal Article
Shipman, R., Roberts, R., Waldron, J., Naylor, S., Pinchin, J., Rodrigues, L., & Gillott, M. (2021). We got the power: Predicting available capacity for vehicle-to-grid services using a deep recurrent neural network. Energy, 221, Article 119813. https://doi.org/10.1016/j.energy.2021.119813

© 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.