Cited by 696Electric Vehicles and InfrastructureSmart Grid Energy ManagementElectric Power System Optimization

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Impact of uncoordinated plug-in electric vehicle charging on residential power demand

Muratori, Matteo·2018·Nature Energy

DOI 10.1038/s41560-017-0074-z

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1038/s41560-017-0074-z

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
Clement-Nyns, K., Haesen, E., & Driesen, J. (2010) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2036481 · Cited by 2,847
Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
Swan, L. G., & Ugursal, V. I. (2009) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2008.09.033 · Cited by 2,084
Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks
Pieltain Fernandez, L., Gomez San Roman, T., Cossent, R., Mateo Domingo, C., & Frias, P. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2049133 · Cited by 1,245
Domestic electricity use: A high-resolution energy demand model
Richardson, I., Thomson, M., Infield, D. G., & Clifford, C. (2010) · Energy and Buildings · doi:10.1016/j.enbuild.2010.05.023 · Cited by 977
The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook
Green, R., Wang, L., & Alam, M. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.08.015 · Cited by 643
A high-resolution stochastic model of domestic activity patterns and electricity demand
Widén, J., & Wäckelg̊ard, E. (2010) · Applied Energy · doi:10.1016/j.apenergy.2009.11.006 · Cited by 602
A bottom-up approach to residential load modeling
Capasso, A., Grattieri, W., Lamedica, R., & Prudenzi, A. (1994) · IEEE Transactions on Power Systems · doi:10.1109/59.317650 · Cited by 492
Forecasting loads and prices in competitive power markets
Bunn, D. W. (2000) · Proceedings of the IEEE · doi:10.1109/5.823996 · Cited by 461
The role of technology for achieving climate policy objectives: overview of the EMF 27 study on global technology and climate policy strategies
Kriegler, E., Weyant, J. P., Blanford, G. J., Krey, V., Clarke, L., Edmonds, J., Fawcett, A. A., Luderer, G., Riahi, K., Richels, R., et al. (2014) · Climatic Change · doi:10.1007/s10584-013-0953-7 · Cited by 445
Evaluation of Utility System Impacts and Benefits of Optimally Dispatched Plug-In Hybrid Electric Vehicles (Revised)
Denholm, P. L., & Short, W. (2006) · doi:10.2172/888683 · Cited by 409

Show all 36 references

Research works printed but not linked: 2

IPCC Climate Change 2014: Mitigation of Climate Change (eds Edenhofer, O. et al.) (Cambridge Univ. Press, Cambridge, 2014).
Environmental Assessment of Plug-In Hybrid Electric Vehicles: Nationwide Greenhouse Gas Emissions Vol. 1 (EPRI, CA, 2007).

Sorted by citations

Items 101–200 of 696

Toward carbon-neutral electricity and mobility: Is the grid infrastructure ready?
Xie, L., Singh, C., Mitter, S. K., Dahleh, M. A., & Oren, S. S. (2021) · Joule · doi:10.1016/j.joule.2021.06.011 · Cited by 56
A Reliable Evaluation Metric for Electrical Load Forecasts in V2G Scheduling Considering Statistical Features of EV Charging
Zhong, J., Lei, X., Shao, Z., & Jian, L. (2024) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2024.3392910 · Cited by 55
Can battery electric vehicles meet sustainable energy demands? Systematically reviewing emissions, grid impacts, and coupling to renewable energy
Tuffour, J. P., & Ewing, R. (2024) · Energy Research & Social Science · doi:10.1016/j.erss.2024.103625 · Cited by 55
The demand-side resource opportunity for deep grid decarbonization
O’Shaughnessy, E., Shah, M., Parra, D., & Ardani, K. B. (2022) · Joule · doi:10.1016/j.joule.2022.04.010 · Cited by 53
Coordinating distributed energy resources for reliability can significantly reduce future distribution grid upgrades and peak load
Navidi, T., Gamal, A. E., & Rajagopal, R. (2023) · Joule · doi:10.1016/j.joule.2023.06.015 · Cited by 53
Reducing household electricity consumption during evening peak demand times: Evidence from a field experiment
Борисовна, А. В., Cohen, J. J., Kollmann, A., & Reichl, J. (2020) · Energy Policy · doi:10.1016/j.enpol.2020.111657 · Cited by 53
The shape of electrified transportation
Muratori, M., & Mai, T. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abcb38 · Cited by 56
Self-citation
A Novel Power Market Mechanism Based on Blockchain for Electric Vehicle Charging Stations
Huang, Z., Li, Z., Lai, C. S., Zhao, Z., Wu, X., Li, X., Tong, N., & Lai, L. L. (2021) · Electronics · doi:10.3390/electronics10030307 · Cited by 53
Uncovering travel and charging patterns of private electric vehicles with trajectory data: evidence and policy implications
Sun, M., Shao, C., Zhuge, C., Wang, P., Yang, X., & Wang, S. (2021) · Transportation · doi:10.1007/s11116-021-10216-1 · Cited by 51
Review of Fast Charging for Electrified Transport: Demand, Technology, Systems, and Planning
Town, G. E., Taghizadeh, F., & Deilami, S. (2022) · Energies · doi:10.3390/en15041276 · Cited by 58
Probability density function forecasting of residential electric vehicles charging profile
Jahromi, A. J., Mohammadi, M., Afrasiabi, S., Afrasiabi, M., & Aghaei, J. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119616 · Cited by 51
Optimal Dynamic Pricing of Fast Charging Stations Considering Bounded Rationality of Users and Market Regulation
Chen, Y., Hu, S., Xie, S., Zheng, Y., Hu, Q., & Yang, Q. (2024) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2024.3363040 · Cited by 51
Co-Optimization of Energy Losses and Transformer Operating Costs Based on Smart Charging Algorithm for Plug-In Electric Vehicle Parking Lots
Madahi, S. S. K., Nafisi, H., Abyaneh, H. A., & Marzband, M. (2020) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2020.3020690 · Cited by 51
Smart techno-economic operation of electric vehicle charging station in Egypt
Makeen, P., Ghali, H. A., Memon, S., & Duan, F. (2022) · Energy · doi:10.1016/j.energy.2022.126151 · Cited by 50
A large-scale high-resolution geographic analysis of impacts of electric vehicle charging on low-voltage grids
Hartvigsson, E., Taljegard, M., Odenberger, M., & Chen, P. (2022) · Energy · doi:10.1016/j.energy.2022.125180 · Cited by 49
Leveraging owners’ flexibility in smart charge/discharge scheduling of electric vehicles to support renewable energy integration
Sharifi, P., Banerjee, A., & Feizollahi, M. J. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2020.106762 · Cited by 48
OCHRE: The Object-oriented, Controllable, High-resolution Residential Energy Model for Dynamic Integration Studies
Blonsky, M. N., Maguire, J., McKenna, K., Cutler, D. S., Balamurugan, S. P., & Jin, X. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.116732 · Cited by 49
A framework for day-ahead optimal charging scheduling of electric vehicles providing route mapping: Kowloon case study
Kamrani, A. S., Abyaneh, H. A., Nafisi, H., & Marzband, M. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.127297 · Cited by 52
Priority-based vehicle-to-grid scheduling for minimization of power grid load variance
Hashim, M. S., Yong, J. Y., Ramachandaramurthy, V. K., Tan, K. M., Mansor, M., & Tariq, M. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102607 · Cited by 49
Energy Transition in France
Lebrouhi, B. E., Schall, É., Lamrani, B., Chaibi, Y., & Kousksou, T. (2022) · Sustainability · doi:10.3390/su14105818 · Cited by 49
Transportation and electricity systems integration via electric vehicle charging-as-a-service: A review of techno-economic and societal benefits
Trinko, D. A., Horesh, N., Porter, E., Dunckley, J., Miller, E. E., & Bradley, T. H. (2023) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.113180 · Cited by 49
Predictability of electric vehicle charging: Explaining extensive user behavior-specific heterogeneity
Kreft, M., Brudermueller, T., Fleisch, E., & Staake, T. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.123544 · Cited by 49
Urban Electric Vehicle Fast-Charging Demand Forecasting Model Based on Data-Driven Approach and Human Decision-Making Behavior
Xing, Q., Chen, Z., Zhang, Z., Xu, X. S., Zhang, T., Huang, X., & Wang, H. (2020) · Energies · doi:10.3390/en13061412 · Cited by 49
A review on charging behavior of electric vehicles: data, model, and control
Jia, Q., & Long, T. (2020) · Control Theory and Technology · doi:10.1007/s11768-020-0048-8 · Cited by 51
A Probabilistic Methodology to Quantify the Impacts of Cold Weather on Electric Vehicle Demand: A Case Study in the U.K.
Koncar, I., & Bayram, I. S. (2021) · IEEE Access · doi:10.1109/access.2021.3090534 · Cited by 48
Review of the Estimation Methods of Energy Consumption for Battery Electric Buses
Al-Ogaili, A. S., Al-Shetwi, A. Q., Al‐Masri, H. M. K., Babu, T. S., Hoon, Y., Alzaareer, K., & Babu, N. V. P. (2021) · Energies · doi:10.3390/en14227578 · Cited by 48
Electrification Futures Study: Scenarios of Power System Evolution and Infrastructure Development for the United States
Murphy, C. A., Strategic Programs Office USDOE Office of Energy Efficiency and Renewable Energy (EERE), Northern Arizona Univ., F., Mai, T., Sun, Y., Jadun, P., Muratori, M., Nelson, B., & Jones, R. (2021) · doi:10.2172/1762438 · Cited by 47
Self-citation
A framework for stochastic estimation of electric vehicle charging behavior for risk assessment of distribution networks
Habib, S., Khan, M. M., Abbas, F., Numan, M., Ali, Y., Tang, H., & Yan, X. (2020) · Frontiers in Energy · doi:10.1007/s11708-019-0648-5 · Cited by 46
Impact of Nonplanar Panels on Photovoltaic Power Generation in the Case of Vehicles
Tayagaki, T., Araki, K., Yamaguchi, M., & Sugaya, T. (2019) · IEEE Journal of Photovoltaics · doi:10.1109/jphotov.2019.2940850 · Cited by 45
Electric vehicles the future of transportation sector: a review
Aggarwal, S., & Singh, A. K. (2021) · Energy Sources Part A Recovery Utilization and Environmental Effects · doi:10.1080/15567036.2021.1976322 · Cited by 45
Coordinated energy management for commercial prosumers integrated with distributed stationary storages and EV fleets
Zheng, S., Huang, G., & Lai, A. C. K. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.112773 · Cited by 45
Emissions of electric vehicles in California’s transition to carbon neutrality
Jenn, A. T. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.120974 · Cited by 46
Smart energy strategies for dynamic EV charging and renewable integration in distribution systems: A multi-objective optimization framework
Yuvaraj, T., Krishnamoorthy, R., Arun, S., Bajaj, M., Blažek, V., & Prokop, L. (2026) · Energy Strategy Reviews · doi:10.1016/j.esr.2026.102051 · Cited by 46
Location selection for hydrogen fuel stations under emerging provider competition
Crönert, T., & Minner, S. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103426 · Cited by 44
The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience
Emodi, N. V., Akuru, U. B., Dioha, M. O., Adoba, P., Kuhudzai, R. J., & Bamisile, O. (2023) · Energies · doi:10.3390/en16104248 · Cited by 43
Electric Vehicle Charging Scheduling Strategy for Supporting Load Flattening Under Uncertain Electric Vehicle Departures
Wang, H., Shi, M., Xie, P., Lai, C. S., Li, K., & Jia, Y. (2023) · Journal of Modern Power Systems and Clean Energy · doi:10.35833/mpce.2022.000220 · Cited by 43
An empirical analysis of electric vehicle charging behavior based on real Danish residential charging data
Ziras, C., Thingvad, M., Fog, T., Yousefi, G., & Weckesser, T. (2024) · Electric Power Systems Research · doi:10.1016/j.epsr.2024.110556 · Cited by 42
Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
Shibl, M. M., Ismail, L. S., & Massoud, A. M. (2020) · Energies · doi:10.3390/en13205429 · Cited by 42
Emission mitigation potential from coordinated charging schemes for future private electric vehicles
Chen, J., Wang, F., He, X., Liang, X., Huang, J., Zhang, S., & Wu, Y. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.118385 · Cited by 41
The impact of heavy-duty vehicle electrification on large power grids: A synthetic Texas case study
Helou, R. E., Sivaranjani, S., Kalathil, D. M., Schaper, A., & Xie, L. (2022) · Advances in Applied Energy · doi:10.1016/j.adapen.2022.100093 · Cited by 42
Achieving reliable coordination of residential plug-in electric vehicle charging: A pilot study
Alexeenko, P., & Bitar, E. Y. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103658 · Cited by 41
Electric vehicle community charging hubs in multi-unit dwellings: Scheduling and techno-economic assessment
Zhang, R., Horesh, N., Kontou, E., & Zhou, Y. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103776 · Cited by 41
Lifecycle battery carbon footprint analysis for battery sustainability with energy digitalization and artificial intelligence
Zhou, Y. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.123665 · Cited by 41
Urban power load profiles under ageing transition integrated with future EVs charging
Zhang, H., Chen, J., Yan, J., Song, X., Shibasaki, R., & Yan, J. (2021) · Advances in Applied Energy · doi:10.1016/j.adapen.2020.100007 · Cited by 40
Efficient allocation of capacitors and vehicle-to-grid integration with electric vehicle charging stations in radial distribution networks
Soliman, I. A., Tulsky, V. N., el‐Ghany, H. A. A., & ELGebaly, A. E. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.124745 · Cited by 44
Electric vehicle based smart e-mobility system – Definition and comparison to the existing concept
Pavić, I., Pandžić, H., & Capuder, T. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115153 · Cited by 40
How weaponizing disinformation can bring down a city’s power grid
Raman, G., AlShebli, B., Waniek, M., Rahwan, T., & Peng, J. C. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236517 · Cited by 40
Manipulating Residents’ Behavior to Attack the Urban Power Distribution System
Raman, G., Peng, J. C., & Rahwan, T. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2903882 · Cited by 39
Coordinated Control of PEV and PV-Based Storages in Residential Systems Under Generation and Load Uncertainties
Hafiz, F., de Queiroz, A. R., & Husain, I. (2019) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2019.2929711 · Cited by 39
Incorporating Residential Smart Electric Vehicle Charging in Home Energy Management Systems
Blonsky, M. N., Munankarmi, P., & Balamurugan, S. P. (2021) · IEEE Green Technologies Conference (GreenTech) · doi:10.1109/greentech48523.2021.00039 · Cited by 39
Grid impacts of highway electric vehicle charging and role for mitigation via energy storage
Mowry, A., & Mallapragada, D. S. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112508 · Cited by 39
Incorporating Health Cobenefits into Province-Driven Climate Policy: A Case of Banning New Internal Combustion Engine Vehicle Sales in China
Shen, J., Chen, X., Li, H., Cui, X., Zhang, S., Bu, C., An, K., Wang, C., & Cai, W. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.2c08450 · Cited by 39
Bidding strategy design for electric vehicle aggregators in the day-ahead electricity market considering price volatility: A risk-averse approach
Zheng, Y., Wang, Y., & Yang, Q. (2023) · Energy · doi:10.1016/j.energy.2023.129138 · Cited by 38
A new model for comprehensively evaluating the economic and environmental effects of vehicle-to-grid(V2G) towards carbon neutrality
Yang, K., Zhang, Q., Wang, G., Li, H., & McLellan, B. C. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113067 · Cited by 38
Apartment-level electric vehicle charging coordination: peak load reduction and charging payment minimization
Jang, H. S., Bae, K. Y., Jung, B. C., & Sung, D. K. (2020) · Energy and Buildings · doi:10.1016/j.enbuild.2020.110155 · Cited by 38
Toward Green Vehicles Digitalization for the Next Generation of Connected and Electrified Transport Systems
Mihet‐Popa, L., & Saponara, S. (2018) · Energies · doi:10.3390/en11113124 · Cited by 41
How many electric vehicles can the current Australian electricity grid support?
Li, M., & Manfred Lenzen, A. (2019) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2019.105586 · Cited by 36
Is it the end of combustion and engine combustion research? Should it be?
KALGHATGI, G. T. (2022) · Transportation Engineering · doi:10.1016/j.treng.2022.100142 · Cited by 37
Large-scale public charging demand prediction with a scenario- and activity-based approach
Jiang, Q., Zhang, N., He, B. Y., Lee, C., & Ma, J. (2023) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2023.103935 · Cited by 43
An Information Security Solution for Vehicle-to-Grid Scheduling by Distributed Edge Computing and Federated Deep Learning
Shang, Y., Li, Z., Li, S., Shao, Z., & Jian, L. (2024) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2024.3351960 · Cited by 36
Grid integration of electric vehicles - Impact assessment and remedial measures
Acharige, S. S. G., Haque, M. E., Arif, M. T., Hosseinzadeh, N., Hasan, K. N., Hossain, M. J., & Muttaqi, K. M. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.236697 · Cited by 41
Stochastic analysis of future scenarios for battery electric vehicle deployment and the upgrade of the electricity generation system in Spain
Fernández, R. A. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128101 · Cited by 36
A comprehensive review of Vehicle-to-Grid V2G technology: Technical, economic, regulatory, and social perspectives
Eltohamy, M. S., Tawfiq, M. H., Ahmed, M. M. R., Alaas, Z. M., Faiya, B. M. A., Ahmed, I., Youssef, H., & Raouf, A. (2025) · Energy Conversion and Management X · doi:10.1016/j.ecmx.2025.101138 · Cited by 50
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework
Yang, Y., Hao, J., Zheng, Y., & Yu, C. (2019) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2019/89 · Cited by 35
Behavioural patterns in aggregated demand response developments for communities targeting renewables
Cruz, C., Palomar, E., Bravo, I., & Aleixandre, M. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.103001 · Cited by 35
A Novel Cross-Case Electric Vehicle Demand Modeling Based on 3D Convolutional Generative Adversarial Networks
Jahangir, H., Gougheri, S. S., Vatandoust, B., Golkar, M. A., Golkar, M. A., Ahmadian, A., & Hajizadeh, A. (2021) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2021.3100994 · Cited by 35
Scenario-based modelling of the potential for solar energy charging of electric vehicles in two Scandinavian cities
Good, C., Shepero, M., Munkhammar, J., & Boström, T. K. (2018) · Energy · doi:10.1016/j.energy.2018.11.050 · Cited by 35
Energy, Emissions, and Cost Impacts of Charging Price Strategies for Electric Vehicles
Li, X., & Jenn, A. T. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.1c06231 · Cited by 34
Artificial deep neural network enables one-size-fits-all electric vehicle user behavior prediction framework
Ahmadian, A., Ghodrati, V., & Gadh, R. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.121884 · Cited by 34
En-route charge scheduling for an electric bus network: Stochasticity and real-world practice
Zeng, Z., Wang, T., & Qu, X. (2024) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2024.103498 · Cited by 34
Coupling transport and electricity: How can vehicle-to-grid boost the attractiveness of carsharing?
Gschwendtner, C., & Krauss, K. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103261 · Cited by 42
A Systematic Review on Demand Response Role Toward Sustainable Energy in the Smart Grids-Adopted Buildings Sector
Al-Ghaili, A. M., Ibrahim, Z.-A., Bakar, A. A., Kasim, H., Al‐Hada, N. M., Jôrgensen, B. N., Hassan, Z., Othman, M., Kasmani, R. M., & Shayea, I. A. M. (2023) · IEEE Access · doi:10.1109/access.2023.3287641 · Cited by 37
Fair, Equitable, and Efficient Tariffs in the Presence of Distributed Energy Resources
Burger, S. P., Schneider, I., Botterud, A., & Arriaga, J. I. P. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816835-6.00008-5 · Cited by 33
Electrification Futures Study: Methodological Approaches for Assessing Long-Term Power System Impacts of End-Use Electrification
Sun, Y., Jadun, P., Nelson, B., Muratori, M., Murphy, C. A., Logan, J., & Mai, T. (2020) · doi:10.2172/1660122 · Cited by 33
Self-citation
Analysis and mitigation of the impact of electric vehicle charging on service disruption of distribution transformers
Visakh, A., & Selvan, M. P. (2023) · Sustainable Energy Grids and Networks · doi:10.1016/j.segan.2023.101096 · Cited by 32
Toward environmental sustainability: data-driven analysis of energy use patterns and load profiles for urban electric vehicle fleets
Zhao, Y., Jiang, Z., Chen, X., Liu, P., Peng, T., & Shu, Z. (2023) · Energy · doi:10.1016/j.energy.2023.129465 · Cited by 32
Vehicle-to-grid enabled charging infrastructure planning and operations considering demand uncertainties
Niu, Z., An, K., & Ma, W. (2024) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103918 · Cited by 32
Multivariate copula procedure for electric vehicle charging event simulation
Einolander, J., & Lahdelma, R. (2021) · Energy · doi:10.1016/j.energy.2021.121718 · Cited by 33
Analyzing Electric Vehicle Load Impact on Power Systems: Modeling Analysis and a Case Study for Maldives
Suski, A., Remy, T., Chattopadhyay, D., Song, C. S., Jaques, I., Keskes, T., & Li, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3111001 · Cited by 32
A review of key technologies in relation to large-scale clusters of electric vehicles supporting a new power system
Wu, J., Zhang, M., Xu, T., Gu, D., Xie, D., Zhang, T., Hu, H., & Zhou, T. (2023) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.113351 · Cited by 32
Recent advancement of energy internet for emerging energy management technologies: Key features, potential applications, methods and open issues
Hannan, M. A., Ker, P. J., Mansor, M., Lipu, M. S. H., Al-Shetwi, A. Q., Alghamdi, S. M., Begum, R. A., & Kiong, T. S. (2023) · Energy Reports · doi:10.1016/j.egyr.2023.10.051 · Cited by 31
Accelerating lithium storage capability of cobalt sulfide encapsulated within anion dual-doped mesoporous carbon nanofibers
Shin, D.-Y., Jo, H.-G., & Ahn, H. (2020) · Applied Surface Science · doi:10.1016/j.apsusc.2020.146895 · Cited by 30
Optimal design of electric vehicle charging stations for commercial premises
Bayram, I. S., Devetsikiotis, M., & Jovanović, R. (2021) · International Journal of Energy Research · doi:10.1002/er.6523 · Cited by 33
Control for smart systems: Challenges and trends in smart cities
Jia, Q., Panetto, H., Macchi, M., Siri, S., Weichhart, G., & Xu, Z. (2022) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2022.04.010 · Cited by 30
Demand-Side and Utility-Side Management Techniques for Increasing EV Charging Load
Shuvo, S. S., & Yılmaz, Y. (2023) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2023.3235903 · Cited by 30
Multi-Objective Optimization Scheduling of Active Distribution Network Considering Large-Scale Electric Vehicles Based on NSGAII-NDAX Algorithm
Chen, J., Mao, L., Liu, Y., Wang, J., & Sun, X. (2023) · IEEE Access · doi:10.1109/access.2023.3312573 · Cited by 30
Planning charging stations for 2050 to support flexible electric vehicle demand considering individual mobility patterns
Wu, J., Powell, S., Xu, Y., Rajagopal, R., & González, M. C. (2024) · Cell Reports Sustainability · doi:10.1016/j.crsus.2023.100006 · Cited by 30
Machine Learning-Based Electric Vehicle Charging Demand Forecasting: A Systematized Literature Review
Alaraj, M., Radi, M., Alsisi, E. A., Majdalawieh, M., & Darwish, M. M. (2025) · Energies · doi:10.3390/en18174779 · Cited by 38
Power market equilibrium considering an EV storage aggregator exposed to marginal prices - A bilevel optimization approach
Toquica, D., Jesus, P. M. D. O., & Cadena, Á. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.101267 · Cited by 29
A hybrid strategy for mitigating unbalance and improving voltage considering higher penetration of electric vehicles and distributed generation
Saravanan, R., Kaliappan, S., Jayaprakasan, V., & Maniraj, P. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.103489 · Cited by 29
On an Information and Control Architecture for Future Electric Energy Systems
Xie, L., Huang, T., Kumar, P. R., Thatte, A. A., & Mitter, S. K. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3218276 · Cited by 29
Data-driven method for electric vehicle charging demand analysis: Case study in Virginia
Liu, Z., Borlaug, B., Meintz, A., Neuman, C., Wood, E. W., & Bennett, J. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103994 · Cited by 28
Assessing power grid vulnerability to extreme weather: The impact of electric vehicles and energy storage systems
Li, Y., Teh, J., & Lai, C. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.115534 · Cited by 28
Risk Evaluation of Distribution Networks Considering Residential Load Forecasting with Stochastic Modeling of Electric Vehicles
Habib, S., Khan, M. M., Abbas, F., Ali, A., Hashmi, K., Shahid, M. U., Qian, B., & Tang, H. (2019) · Energy Technology · doi:10.1002/ente.201900191 · Cited by 28
An Active Learning-Based Approach for Hosting Capacity Analysis in Distribution Systems
Lee, K., Zhao, P., Bhattacharya, A., Mallick, B. K., & Xie, L. (2023) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2023.3290414 · Cited by 30
Coordinated load management of building clusters and electric vehicles charging: An economic model predictive control investigation in demand response
Petrucci, A., Vallianos, C., Buonomano, A., Delcroix, B., & Athienitis, A. K. (2025) · Energy Conversion and Management · doi:10.1016/j.enconman.2025.119965 · Cited by 27
Operational performance and grid-support assessment of distributed flexibility practices among residential prosumers under high PV penetration
Li, Y., Zhang, X., Gao, W., Xu, W., & Wang, Z. (2021) · Energy · doi:10.1016/j.energy.2021.121824 · Cited by 27
Optimal operation of static energy storage in fast-charging stations considering the trade-off between resilience and peak shaving
Ali, A. Y., Hussain, A., Baek, J.-W., & Kim, H. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105197 · Cited by 27
Big data-driven decoupling framework enabling quantitative assessments of electric vehicle performance degradation
Zhao, Y., Wang, Z., Shen, Z. M., Zhang, L., Dorrell, D. G., & Sun, F. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.120083 · Cited by 28
Synthesis of electric vehicle charging data: A real-world data-driven approach
Li, Z., Bian, Z., Chen, Z., Özbay, K. M. A., & Zhong, M. (2024) · Communications in Transportation Research · doi:10.1016/j.commtr.2024.100128 · Cited by 26

Authors: Muratori, M.
Affiliations: National Laboratory of the Rockies (US)
Corresponding author: Muratori, Matteo
ORCID: Muratori, Matteo
Venue: Nature Energy
Publisher: Springer Science and Business Media LLC
Published: 2018-01-22
Volume: 3
Issue: 3
Pages: 193-201
ISSN: 2058-7546 (ISSN-L)
DOI: 10.1038/s41560-017-0074-z
OpenAlex: W2789027126
Cited by: 695
References: 36
Citations by year: 2026: 104 · 2025: 120 · 2024: 86 · 2023: 105 · 2022: 71 · 2021: 99 · 2020: 62 · 2019: 35 · 2018: 12
FWCI: 19.90
Type: journal article
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Nature Energy (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
Keywords: plug-in electric vehicles, uncoordinated charging, peak load, electric mobility

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Impact of uncoordinated plug-in electric vehicle charging on residential power demand

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks