Research on traffic energy scheduling based on photovoltaic forecasting using stacked ensemble learning
In the process of traffic energy scheduling, the proportion of renewable energy utilization is gradually increasing, and accurate photovoltaic (PV) power generation forecasting is a prerequisite for the safe and stable integration of high proportions of PV into the power grid. However, existing mach...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2026-02-01
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| シリーズ: | International Journal of Electrical Power & Energy Systems |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S0142061525010865 |
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