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July 2, 2026Electric Power Systems ResearchOpen Access

What makes demand wait? Modeling cross-day flexibility in electric vehicle charging

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Authors

MCMargarita ChatzouliMSMagnus B. SørensenTWTilman Weckesser

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Overview

Models electric vehicle charging demand dynamics, revealing insights for operators and flexibility providers.

Key Points

  • The study aims to understand the dynamics of electric vehicle charging demand by modeling daily patterns using residential data.
  • Analyzed three years of residential EV charging data from Denmark.
  • Aligned daily boundaries with charging demand peaks to uncover behavioral patterns.
  • Compared machine-learning algorithms (Random Forest, Catboost) and a Linear Regression model for performance and interpretability.
  • EV users respond more consistently to relative changes in nighttime prices than to absolute values.
  • Demand patterns are influenced by routines and seasonality, with nighttime prices being dominant in winter and midday prices in summer.
  • Linear Regression model provided the best balance between performance and interpretability, highlighting distinct behaviors.

Cite This Study

Chatzouli et al. (2026) studied this question.

synapsesocial.com/papers/6a4600a29ed1343031310ad8https://doi.org/10.1016/j.epsr.2026.113566
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Electric Vehicle User Behavior Forecasting via Data-Driven Techniques2026
  2. 2Insights into Household Electric Vehicle Charging Behavior: Analysis and Predictive Modeling2024 · 3 citations
  3. 3Understanding User Behaviour and Predicting Charging Costs: A Machine Learning Approach to Support Electric Vehicle Adoption Decisions2025 · 7 citations
  4. 4Data-Driven Residential Electric Vehicle Charging Behavior and Load Profile Modeling for Demand Response in the Midcontinent Independent System Operator Region2024 · 2 citations
  5. 5An integrated machine learning framework for EV charging management2026