Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications
With building electric demand becoming increasingly dynamic, and a growing percentage of
intermittent renewable power generation from solar photovoltaics and wind turbines, the …
intermittent renewable power generation from solar photovoltaics and wind turbines, the …
A comprehensive review on electric vehicle: battery management system, charging station, traction motors
Electric vehicles (EVs) are widespread, and their usage is increasing as a result of air
pollution and rising fuel costs. EVs are quickly gaining popularity as a green means of …
pollution and rising fuel costs. EVs are quickly gaining popularity as a green means of …
Integration of charging behavior into infrastructure planning and management of electric vehicles: A systematic review and framework
Increasing electric vehicle (EV) sales have shifted the focus of researchers from EV adoption
to new operational challenges such as charging infrastructure deployment and …
to new operational challenges such as charging infrastructure deployment and …
Challenges of electric vehicles and their prospects in Malaysia: A comprehensive review
NAQ Muzir, MRH Mojumder, M Hasanuzzaman… - Sustainability, 2022 - mdpi.com
Electric vehicles (EVs) in Malaysia are gaining more attention and interest from the public.
However, the electric vehicle's exposure, awareness, and sales are still low compared to …
However, the electric vehicle's exposure, awareness, and sales are still low compared to …
An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations
Transportation electrification is a valid option for supporting decarbonization efforts but, at
the same time, the growing number of electric vehicles will produce new and unpredictable …
the same time, the growing number of electric vehicles will produce new and unpredictable …
A review of electric vehicle load open data and models
The field of electric vehicle charging load modelling has been growing rapidly in the last
decade. In light of the Paris Agreement, it is crucial to keep encouraging better modelling …
decade. In light of the Paris Agreement, it is crucial to keep encouraging better modelling …
Forecasting charging demand of electric vehicles using time-series models
Y Kim, S Kim - Energies, 2021 - mdpi.com
This study compared the methods used to forecast increases in power consumption caused
by the rising popularity of electric vehicles (EVs). An excellent model for each region was …
by the rising popularity of electric vehicles (EVs). An excellent model for each region was …
Carbon efficient smart charging using forecasts of marginal emission factors
Battery electric vehicles do not emit CO 2 from an internal combustion engine but can cause
emissions while charging electricity generated by remote fossil power plants. Smart …
emissions while charging electricity generated by remote fossil power plants. Smart …
Quantile-mixer: A novel deep learning approach for probabilistic short-term load forecasting
As the power grid becomes more complex and dynamic, accurate short-term load
forecasting (STLF) with probabilistic information is a prerequisite for various smart grid …
forecasting (STLF) with probabilistic information is a prerequisite for various smart grid …
[HTML][HTML] How to model European electricity load profiles using artificial neural networks
C Behm, L Nolting, A Praktiknjo - Applied Energy, 2020 - Elsevier
We present a method to create synthetic, weather-dependent, annual electricity load profiles
for European countries in hourly resolution using artificial neural networks as a necessary …
for European countries in hourly resolution using artificial neural networks as a necessary …