FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387527863> ?p ?o ?g. }

• W4387527863 endingPage "227" @default.
• W4387527863 startingPage "213" @default.
• W4387527863 abstract "The great complexity and size of electrical power systems makes their operation and control a challenging task. Maintaining a stable voltage profile to assure the security and stability of the system is one of many tasks that must be conducted daily by power system operators and its automatic control equipment. This work proposes a deep reinforcement learning framework for controlling the equipment responsible for keeping the voltages across the system buses within their limits. More specifically, a smart agent that is capable of deciding the best course of action in order to keep the system’s voltages within a specified range while taking into account system’s conditions is proposed. Besides the traditional deep reinforcement learning approach, three novel reinforcement learning variations named windowed, ensemble and windowed ensemble Q-Learning, which alter the agent’s learning process for voltage control, are presented and tested on IEEE 13, 37 and 123 bus systems, simulated on OpenDSS." @default.
• W4387527863 created "2023-10-12" @default.
• W4387527863 creator A5037546692 @default.
• W4387527863 creator A5045335382 @default.
• W4387527863 creator A5047284741 @default.
• W4387527863 creator A5074107223 @default.
• W4387527863 creator A5077912216 @default.
• W4387527863 creator A5093042261 @default.
• W4387527863 creator A5093042262 @default.
• W4387527863 creator A5093042263 @default.
• W4387527863 date "2023-01-01" @default.
• W4387527863 modified "2023-10-12" @default.
• W4387527863 title "Deep Reinforcement Learning for Voltage Control in Power Systems" @default.
• W4387527863 cites W1974222359 @default.
• W4387527863 cites W1975906994 @default.
• W4387527863 cites W2011385388 @default.
• W4387527863 cites W2021016322 @default.
• W4387527863 cites W2026095762 @default.
• W4387527863 cites W2030258375 @default.
• W4387527863 cites W2049062008 @default.
• W4387527863 cites W2064646442 @default.
• W4387527863 cites W2072511754 @default.
• W4387527863 cites W2093606438 @default.
• W4387527863 cites W2101985453 @default.
• W4387527863 cites W2123653619 @default.
• W4387527863 cites W2138169758 @default.
• W4387527863 cites W2145339207 @default.
• W4387527863 cites W2153573511 @default.
• W4387527863 cites W2169383353 @default.
• W4387527863 cites W2172245346 @default.
• W4387527863 cites W2746553466 @default.
• W4387527863 cites W2761873684 @default.
• W4387527863 cites W2762654164 @default.
• W4387527863 cites W2809907229 @default.
• W4387527863 cites W2883076328 @default.
• W4387527863 cites W2990424213 @default.
• W4387527863 cites W3003497208 @default.
• W4387527863 cites W3133513924 @default.
• W4387527863 cites W4229857884 @default.
• W4387527863 cites W4241323969 @default.
• W4387527863 cites W639305211 @default.
• W4387527863 doi "https://doi.org/10.1007/978-3-031-45389-2_15" @default.
• W4387527863 hasPublicationYear "2023" @default.
• W4387527863 type Work @default.
• W4387527863 citedByCount "0" @default.
• W4387527863 crossrefType "book-chapter" @default.
• W4387527863 hasAuthorship W4387527863A5037546692 @default.
• W4387527863 hasAuthorship W4387527863A5045335382 @default.
• W4387527863 hasAuthorship W4387527863A5047284741 @default.
• W4387527863 hasAuthorship W4387527863A5074107223 @default.
• W4387527863 hasAuthorship W4387527863A5077912216 @default.
• W4387527863 hasAuthorship W4387527863A5093042261 @default.
• W4387527863 hasAuthorship W4387527863A5093042262 @default.
• W4387527863 hasAuthorship W4387527863A5093042263 @default.
• W4387527863 hasConcept C111919701 @default.
• W4387527863 hasConcept C112972136 @default.
• W4387527863 hasConcept C119599485 @default.
• W4387527863 hasConcept C119857082 @default.
• W4387527863 hasConcept C121332964 @default.
• W4387527863 hasConcept C127413603 @default.
• W4387527863 hasConcept C133731056 @default.
• W4387527863 hasConcept C154945302 @default.
• W4387527863 hasConcept C163258240 @default.
• W4387527863 hasConcept C165801399 @default.
• W4387527863 hasConcept C17500928 @default.
• W4387527863 hasConcept C201995342 @default.
• W4387527863 hasConcept C2780451532 @default.
• W4387527863 hasConcept C41008148 @default.
• W4387527863 hasConcept C62520636 @default.
• W4387527863 hasConcept C89227174 @default.
• W4387527863 hasConcept C97541855 @default.
• W4387527863 hasConcept C98045186 @default.
• W4387527863 hasConceptScore W4387527863C111919701 @default.
• W4387527863 hasConceptScore W4387527863C112972136 @default.
• W4387527863 hasConceptScore W4387527863C119599485 @default.
• W4387527863 hasConceptScore W4387527863C119857082 @default.
• W4387527863 hasConceptScore W4387527863C121332964 @default.
• W4387527863 hasConceptScore W4387527863C127413603 @default.
• W4387527863 hasConceptScore W4387527863C133731056 @default.
• W4387527863 hasConceptScore W4387527863C154945302 @default.
• W4387527863 hasConceptScore W4387527863C163258240 @default.
• W4387527863 hasConceptScore W4387527863C165801399 @default.
• W4387527863 hasConceptScore W4387527863C17500928 @default.
• W4387527863 hasConceptScore W4387527863C201995342 @default.
• W4387527863 hasConceptScore W4387527863C2780451532 @default.
• W4387527863 hasConceptScore W4387527863C41008148 @default.
• W4387527863 hasConceptScore W4387527863C62520636 @default.
• W4387527863 hasConceptScore W4387527863C89227174 @default.
• W4387527863 hasConceptScore W4387527863C97541855 @default.
• W4387527863 hasConceptScore W4387527863C98045186 @default.
• W4387527863 hasLocation W43875278631 @default.
• W4387527863 hasOpenAccess W4387527863 @default.
• W4387527863 hasPrimaryLocation W43875278631 @default.
• W4387527863 hasRelatedWork W1648303972 @default.
• W4387527863 hasRelatedWork W1800496512 @default.
• W4387527863 hasRelatedWork W2116800748 @default.
• W4387527863 hasRelatedWork W2190465783 @default.
• W4387527863 hasRelatedWork W2192101006 @default.

• next