Active integration of electric vehicles into distribution grids: Barriers and frameworks for flexibility services

FG Venegas, M Petit, Y Perez - Renewable and Sustainable Energy …, 2021 - Elsevier
Distribution system operators face a challenging environment marked by increased
decentralization, digitalization, and the decarbonization of transport and heating sectors. In …

The desirability of transitions in demand: Incorporating behavioural and societal transformations into energy modelling

A Nikas, J Lieu, A Sorman, A Gambhir, E Turhan… - Energy Research & …, 2020 - Elsevier
Quantitative systems modelling in support of climate policy has tended to focus more on the
supply side in assessing interactions among technology, economy, environment, policy and …

An overview of demand response: From its origins to the smart energy community

ME Honarmand, V Hosseinnezhad, B Hayes… - IEEE …, 2021 - ieeexplore.ieee.org
The need to improve power system performance, enhance reliability, and reduce
environmental effects, as well as advances in communication infrastructures, have led to …

The market case for electric mobility: Investigating electric vehicle business models for mass adoption

GZ De Rubens, L Noel, J Kester, BK Sovacool - Energy, 2020 - Elsevier
Electric vehicles (EVs) are becoming the next automotive technology to be widely diffused in
society. However, many structural challenges remain to be addressed around the EV socio …

[HTML][HTML] Emissions of electric vehicles in California's transition to carbon neutrality

A Jenn - Applied Energy, 2023 - Elsevier
California has a many activities targeting specific sectors to mitigate climate change. This
study models several scenarios of future electric vehicle emissions in the state and explores …

Who will buy electric vehicles after early adopters? Using machine learning to identify the electric vehicle mainstream market

GZ de Rubens - Energy, 2019 - Elsevier
Electric vehicles (EVs) continue to penetrate passenger vehicle markets worldwide. Most
current EV markets remain in nascent stages, with buyers being categorised as early …

[HTML][HTML] A methodology for bottom-up modelling of energy transitions in the industry sector: The FORECAST model

T Fleiter, M Rehfeldt, A Herbst, R Elsland… - Energy Strategy …, 2018 - Elsevier
Bottom-up energy models can support strategic decision-making and can help to manage
an efficient transition to a low-carbon energy system. The manufacturing industry accounted …

Review and assessment of the different categories of demand response potentials

GG Dranka, P Ferreira - Energy, 2019 - Elsevier
Demand Response (DR) is a well-known concept which has been recognized as an
increasingly valuable tool to provide flexibility to the power system, to support the integration …

Dynamic real-time pricing mechanism for electric vehicles charging considering optimal microgrids energy management system

TM Aljohani, AF Ebrahim… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Managing electric vehicles (EVs) charging activities when the power grid is congested is a
challenging task. This article proposes a dynamic, real-time, demand-influenced energy …

Allocation optimization of electric vehicle charging station (EVCS) considering with charging satisfaction and distributed renewables integration

J Liu, T Zhang, J Zhu, T Ma - Energy, 2018 - Elsevier
Under the background of large-scale electric vehicle (EV) development, it is necessary to
design and deploy the EVCS more scientific. Among various factors influential to the EVCS …