相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Nearly optimal demand side management for energy, thermal, EV and storage loads: An Approximate Dynamic Programming approach for smarter buildings
Christos D. Korkas et al.
ENERGY AND BUILDINGS (2022)
Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time
Oliver Frendo et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations
Lubos Buzna et al.
APPLIED ENERGY (2021)
Centralised coordination of EVs charging and PV active power curtailment over multiple aggregators in low voltage networks
Andres Felipe Cortes Borray et al.
SUSTAINABLE ENERGY GRIDS & NETWORKS (2021)
Electric vehicle user profiles for aggregated flexibility planning
Marc Canigueral Maurici et al.
2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021) (2021)
A data driven typology of electric vehicle user types and charging sessions
Jurjen R. Helmus et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Stochastic energy management of responsive plug-in electric vehicles characterizing parking lot aggregators
Mohamad K. Daryabari et al.
APPLIED ENERGY (2020)
A review of the population-based and individual-based approaches for electric vehicles in network energy studies
Andres Felipe Cortes Borray et al.
ELECTRIC POWER SYSTEMS RESEARCH (2020)
Machine Learning Approaches for EV Charging Behavior: A Review
Sakib Shahriar et al.
IEEE ACCESS (2020)
Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles
Karol Lina Lopez et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Modeling charging behavior of battery electric vehicle drivers: A cumulative prospect theory based approach
Liang Hu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Short-Term Load Forecasting for Electric Vehicle Charging Stations Based on Deep Learning Approaches
Juncheng Zhu et al.
APPLIED SCIENCES-BASEL (2019)
Ensemble machine learning-based algorithm for electric vehicle user behavior prediction
Yu-Wei Chung et al.
APPLIED ENERGY (2019)
Statistical characterisation of the real transaction data gathered from electric vehicle charging stations
Marco Giacomo Flammini et al.
ELECTRIC POWER SYSTEMS RESEARCH (2019)
Online EV Charging Scheduling With On-Arrival Commitment
Bahram Alinia et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
ACN-Data: Analysis and Applications of an Open EV Charging Dataset
Zachary J. Lee et al.
E-ENERGY'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS (2019)
Local Flexibility Market Design for Aggregators Providing Multiple Flexibility Services at Distribution Network Level
Pol Olivella-Rosell et al.
ENERGIES (2018)
Short-Term Load Forecasting for Electric Vehicle Charging Station Based on Niche Immunity Lion Algorithm and Convolutional Neural Network
Yunyan Li et al.
ENERGIES (2018)
An Adaptive Learning-Based Approach for Nearly Optimal Dynamic Charging of Electric Vehicle Fleets
Christos D. Korkas et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2018)
Vehicle grid integration for demand response with mixture user model and decentralized optimization
Yingqi Xiong et al.
APPLIED ENERGY (2018)
Evaluation of Achievable Vehicle-to-Grid Capacity Using Aggregate PEV Model
Hongcai Zhang et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2017)
A Real-Time Charging Scheme for Demand Response in Electric Vehicle Parking Station
Leehter Yao et al.
IEEE TRANSACTIONS ON SMART GRID (2017)
ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation
M. Hadi Amini et al.
ELECTRIC POWER SYSTEMS RESEARCH (2016)
Stochastic Programming Applied to EV Charging Points for Energy and Reserve Service Markets
Pedro Sanchez-Martin et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2016)
Realizing the smart grid's potential: Defining local markets for flexibility
Ariana Ramos et al.
UTILITIES POLICY (2016)
Electric vehicles contribution for frequency control with inertial emulation
P. M. Rocha Almeida et al.
ELECTRIC POWER SYSTEMS RESEARCH (2015)
A novel model of electric vehicle fleet aggregate battery for energy planning studies
Branimir Skugor et al.
ENERGY (2015)
The investigation of the major factors influencing plug-in electric vehicle driving patterns and charging behaviour
Elham Azadfar et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
Modeling operation of electric vehicles aggregator in reserve services market by using game theory method
Habibalah Kh Khanekehdani et al.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2013)
Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services
Eric Sortomme et al.
IEEE TRANSACTIONS ON SMART GRID (2012)