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Methods for Enhancing Interpretability of Learning Process and Decision Outcomes of Inverse Reinforcement Learning for Intra‐Day Power Dispatch of Power Systems
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| Published in: | IET Renewable Power Generation |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868552396253167616 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IET Renewable Power Generation |
| description | |
| discipline_display | Renewal Energy |
| discipline_facet | Renewal Energy |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:58494 |
| institution | FRELIP |
| journal_source_facet | IET Renewable Power Generation |
| last_indexed | 2026-06-20T21:19:56.163Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Methods for Enhancing Interpretability of Learning Process and Decision Outcomes of Inverse Reinforcement Learning for Intra‐Day Power Dispatch of Power Systems Renewal Energy General Renewal Energy |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Renewal Energy General Renewal Energy |
| subject_facet | Renewal Energy General Renewal Energy |
| title | Methods for Enhancing Interpretability of Learning Process and Decision Outcomes of Inverse Reinforcement Learning for Intra‐Day Power Dispatch of Power Systems |
| title_alt | Métodos para mejorar la interpretabilidad del proceso de aprendizaje y los resultados de decisión del aprendizaje por refuerzo inverso para el despacho de energía intradiario de sistemas eléctricos Méthodes pour améliorer l'interprétabilité du processus d'apprentissage et des résultats de décision de l'apprentissage par renforcement inverse pour la répartition de puissance intra-journalière des systèmes électriques Métodos para Melhorar a Interpretabilidade do Processo de Aprendizagem e dos Resultados de Decisão do Aprendizado por Reforço Inverso para Despacho de Potência Intra-Dia de Sistemas de Potência |
| title_auth | Methods for Enhancing Interpretability of Learning Process and Decision Outcomes of Inverse Reinforcement Learning for Intra‐Day Power Dispatch of Power Systems |
| title_es_txt | Métodos para mejorar la interpretabilidad del proceso de aprendizaje y los resultados de decisión del aprendizaje por refuerzo inverso para el despacho de energía intradiario de sistemas eléctricos |
| title_fr_txt | Méthodes pour améliorer l'interprétabilité du processus d'apprentissage et des résultats de décision de l'apprentissage par renforcement inverse pour la répartition de puissance intra-journalière des systèmes électriques |
| title_full | Methods for Enhancing Interpretability of Learning Process and Decision Outcomes of Inverse Reinforcement Learning for Intra‐Day Power Dispatch of Power Systems |
| title_fullStr | Methods for Enhancing Interpretability of Learning Process and Decision Outcomes of Inverse Reinforcement Learning for Intra‐Day Power Dispatch of Power Systems |
| title_full_unstemmed | Methods for Enhancing Interpretability of Learning Process and Decision Outcomes of Inverse Reinforcement Learning for Intra‐Day Power Dispatch of Power Systems |
| title_pt_txt | Métodos para Melhorar a Interpretabilidade do Processo de Aprendizagem e dos Resultados de Decisão do Aprendizado por Reforço Inverso para Despacho de Potência Intra-Dia de Sistemas de Potência |
| title_short | Methods for Enhancing Interpretability of Learning Process and Decision Outcomes of Inverse Reinforcement Learning for Intra‐Day Power Dispatch of Power Systems |
| title_sort | methods for enhancing interpretability of learning process and decision outcomes of inverse reinforcement learning for intra‐day power dispatch of power systems |
| topic | Renewal Energy General Renewal Energy |
| url | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/rpg2.70279?af=R |