Current Volume 9
A Systematic Review and Proposed Hybrid SSA-CEEMDAN-Attention Framework for Stochastic Electric Vehicle Charging Demand Forecasting
Abstract
The exponential surge in Electric Vehicle (EV) adoption presents a high-dimensional, spatio-temporal stochastic optimization problem that threatens the operational stability of contemporary power distribution networks. Precise short-term demand forecasting is a mechanical necessity for integrating charging stations (EVCS) with volatile renewable energy sources. Existing literature frequently fails to synchronize the “Double Uncertainty” inherent in coupled behavioral and meteorological patterns, while simultaneously exceeding the computational thresholds of decentralized edge devices. This study synthesizes 25 recent works published between 2019 and 2026 and proposes a novel hybrid SSA-CEEMDAN-Attention-BiLSTM architecture. Preliminary benchmarking indicates that the proposed selfoptimizing denoising framework achieves a 15% reduction in Mean Absolute Percentage Error (MAPE) under high-volatility conditions, providing a computationally efficient blueprint for the 2030 smart grid transition.
Keywords
Electric Vehicle (EV), Load Forecasting, CEEMDAN, Attention Mechanism, Smart Grid, Hybrid Models, Deep Learning, Optimization
Citations
IRE Journals:
Ravi Kishan Varma, Dr. S. Balamurugan "A Systematic Review and Proposed Hybrid SSA-CEEMDAN-Attention Framework for Stochastic Electric Vehicle Charging Demand Forecasting" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 2959-2962 https://doi.org/10.64388/IREV9I11-1718001
IEEE:
Ravi Kishan Varma, Dr. S. Balamurugan
"A Systematic Review and Proposed Hybrid SSA-CEEMDAN-Attention Framework for Stochastic Electric Vehicle Charging Demand Forecasting" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1718001
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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