Real-Time AI-Based Power Demand Forecasting for Peak Shaving and Consumption Reduction Using Vehicle-to-Grid and Reused Energy Storage Systems: A Case Study at a Business Center on Jeju Island
The increasing demand for electricity and the environmental challenges associated with traditional fossil fuel-based power generation have accelerated the global transition to renewable energy sources. While renewable energy offers significant advantages, including low carbon emissions and sustainab...
Saved in:
| Main Authors: | Kibaek Kim, Dongwoo Ko, Juwon Jung, Jeng-Ok Ryu, Kyung-Ja Hur, Young-Joo Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/6/3050 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Reserve Decision Model for High-Proportional Renew Energy Integrated Power Grid Based on Deep Peak-Shaving and Virtual Storage
by: Chen XUE, et al.
Published: (2019-11-01) -
The analysis of molten salt energy storage mode with multi-steam sources heating in thermal power unit peak shaving operation
by: Lin-kui Feng, et al.
Published: (2025-04-01) -
The Generation Load Aggregator Participates in the Electricity Purchase and Sale Strategy of the Electric Energy–Peak Shaving Market
by: Haonan Zhang, et al.
Published: (2025-01-01) -
Control Strategy of Multiple Battery Energy Storage Stations for Power Grid Peak Shaving
by: Peiyu Chen, et al.
Published: (2025-08-01) -
Study on Water Erosion in Deep Peak Shaving of Steam Turbine
by: Yunfeng LIU, et al.
Published: (2021-08-01)