Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet

Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet

<p dir="ltr">The exponential increase in the adoption of Electric Vehicles (EVs) presents significant problems to the stability of the power grid. Therefore, it is crucial to accurately anticipate the demand for EV Charging Station (CS) to address this issue. To improve forecasts and...

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Bibliographic Details
Main Author: Vineet Dhanawat (22361395) (author)
Other Authors: Varun Shinde (22361398) (author), Rachid Alami (3714805) (author), Adnan Akhunzada (20151648) (author), Zaid Bin Faheem (22997905) (author), Anjanava Biswas (22361404) (author)
Published: 2025
Subjects:
Engineering
Electrical engineering
Fluid mechanics and thermal engineering
Information and computing sciences
Artificial intelligence
Machine learning
Electric vehicles (EVs)
Charging station (CS)
Load forecasting
Renewable energy
EfficientBiLSTMNet
Deep learning
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