Sikai Huang

TL;DR: In this article, the benefits of various applications of smart network control and demand response technologies for enhancing the integration of these future load categories, and for improvements in operation management and efficient use of distribution network assets are addressed.

TL;DR: In this article, the authors explore the possible evolution of UK electricity demand as we move along three potential transition pathways to a low carbon economy in 2050 and present detailed modelling of hourly balancing of these demands in the context of potential low carbon generation mixes associated with the three transition pathways.

TL;DR: In this paper, a Monte Carlo Simulation (MCS) model of domestic PHEV use and availability has been developed based on probabilistic characterisations obtained from UKTUS and quantifies charging demand of PHEVs as a function of time of day.

TL;DR: In this article, the authors quantified the potential for responsive load from EVs and outlined an appropriate control system to maximize the value of this according to the vehicle-to-grid (V2G) technology.

TL;DR: In this paper, the authors propose a framework to improve the quality of the data collected by the data collection system, by using the information gathered from the data gathered by the system itself.