A review of reinforcement learning for autonomous building energy management

K Mason, S Grijalva - Computers & Electrical Engineering, 2019 - Elsevier
The area of building energy management has received a significant amount of interest in
recent years. This area is concerned with combining advancements in sensor technologies …

[HTML][HTML] Modelling electric vehicles use: a survey on the methods

N Daina, A Sivakumar, JW Polak - Renewable and Sustainable Energy …, 2017 - Elsevier
In the literature electric vehicle use is modelled using of a variety of approaches in power
systems, energy and environmental analyses as well as in travel demand analysis. This …

Adoption barriers for electric vehicles: Experiences from early adopters in Sweden

I Vassileva, J Campillo - Energy, 2017 - Elsevier
Electric vehicles are considered as one of the most effective technologies for reducing
current greenhouse gas emissions from the transport sector. Although in many countries …

Electric vehicles' impacts on residential electric local profiles–A stochastic modelling approach considering socio-economic, behavioural and spatial factors

D Fischer, A Harbrecht, A Surmann, R McKenna - Applied energy, 2019 - Elsevier
This paper presents a stochastic bottom-up model to assess electric vehicles'(EV) impact on
load profiles at different parking locations as well as their potential for load management …

[HTML][HTML] Transforming a residential building cluster into electricity prosumers in Sweden: Optimal design of a coupled PV-heat pump-thermal storage-electric vehicle …

P Huang, M Lovati, X Zhang, C Bales, S Hallbeck… - Applied Energy, 2019 - Elsevier
Smart grid is triggering the transformation of traditional electricity consumers into electricity
prosumers. This paper reports a case study of transforming an existing residential cluster in …

Review of probabilistic load flow approaches for power distribution systems with photovoltaic generation and electric vehicle charging

UH Ramadhani, M Shepero, J Munkhammar… - International Journal of …, 2020 - Elsevier
The currently increasing penetration of photovoltaic (PV) generation and electric vehicle
(EV) charging in electricity distribution grids leads to higher system uncertainties. This …

Reinforcement learning-based plug-in electric vehicle charging with forecasted price

A Chiş, J Lundén, V Koivunen - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a novel demand response method that aims at reducing the long-term
cost of charging the battery of an individual plug-in electric vehicle (PEV). The problem is …

Optimal scheduling of renewable micro-grids considering plug-in hybrid electric vehicle charging demand

H Kamankesh, VG Agelidis, A Kavousi-Fard - Energy, 2016 - Elsevier
In this paper, the optimal energy management of MGs (micro grids) including RESs
(renewable energy sources), PHEVs (plug-in hybrid electric vehicles) and storage devices is …

Integration of electric vehicles into transmission grids: A case study on generation adequacy in Europe in 2040

R Lauvergne, Y Perez, M Françon, AT De La Cruz - Applied Energy, 2022 - Elsevier
Electric vehicles (EVs) are expected to grow massively in the coming years, and grid
integration of a large number of them could challenge electricity-system infrastructure. This …

Probabilistic modeling of nodal charging demand based on spatial-temporal dynamics of moving electric vehicles

D Tang, P Wang - IEEE Transactions on Smart Grid, 2015 - ieeexplore.ieee.org
High penetration of electric vehicles (EVs) as moving loads in power system have drawn
increasing concerns about their negative impacts. Due to the spatial-temporal random …