Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308128830> ?p ?o ?g. }
- W4308128830 endingPage "8083" @default.
- W4308128830 startingPage "8083" @default.
- W4308128830 abstract "An optimal tilt-angle control based on artificial intelligence (AI control) for tracking bifacial photovoltaic (BPV) systems is developed in this study, and its effectiveness and characteristics are examined by simulating a virtual system over five years. Using deep reinforcement learning (deep RL), the algorithm autonomously learns the control strategy in real time from when the system starts to operate. Even with limited deep RL input variables, such as global horizontal irradiance, time, tilt angle, and power, the proposed AI control successfully learns and achieves a 4.0–9.2% higher electrical-energy yield in high-albedo cases (0.5 and 0.8) as compared to traditional sun-tracking control; however, the energy yield of AI control is slightly lower in low-albedo cases (0.2). AI control also demonstrates a superior performance when there are seasonal changes in albedo. Moreover, AI control is robust against long-term system degradation by manipulating the database used for reward setting." @default.
- W4308128830 created "2022-11-08" @default.
- W4308128830 creator A5026512186 @default.
- W4308128830 creator A5027540609 @default.
- W4308128830 creator A5037067575 @default.
- W4308128830 date "2022-10-31" @default.
- W4308128830 modified "2023-09-26" @default.
- W4308128830 title "Deep Reinforcement Learning for the Optimal Angle Control of Tracking Bifacial Photovoltaic Systems" @default.
- W4308128830 cites W1989004439 @default.
- W4308128830 cites W2068770313 @default.
- W4308128830 cites W2131119742 @default.
- W4308128830 cites W2145339207 @default.
- W4308128830 cites W2320093198 @default.
- W4308128830 cites W2523707606 @default.
- W4308128830 cites W2557718140 @default.
- W4308128830 cites W2581858354 @default.
- W4308128830 cites W2610282124 @default.
- W4308128830 cites W2757432773 @default.
- W4308128830 cites W2766944722 @default.
- W4308128830 cites W2806679586 @default.
- W4308128830 cites W2902198624 @default.
- W4308128830 cites W2903137993 @default.
- W4308128830 cites W2904945608 @default.
- W4308128830 cites W2917695552 @default.
- W4308128830 cites W2922771553 @default.
- W4308128830 cites W2989289223 @default.
- W4308128830 cites W2997411949 @default.
- W4308128830 cites W3033361265 @default.
- W4308128830 cites W3043359134 @default.
- W4308128830 cites W3107772550 @default.
- W4308128830 cites W3211687673 @default.
- W4308128830 cites W3214584112 @default.
- W4308128830 cites W3216085667 @default.
- W4308128830 cites W4224253029 @default.
- W4308128830 doi "https://doi.org/10.3390/en15218083" @default.
- W4308128830 hasPublicationYear "2022" @default.
- W4308128830 type Work @default.
- W4308128830 citedByCount "1" @default.
- W4308128830 countsByYear W43081288302022 @default.
- W4308128830 crossrefType "journal-article" @default.
- W4308128830 hasAuthorship W4308128830A5026512186 @default.
- W4308128830 hasAuthorship W4308128830A5027540609 @default.
- W4308128830 hasAuthorship W4308128830A5037067575 @default.
- W4308128830 hasBestOaLocation W43081288301 @default.
- W4308128830 hasConcept C119599485 @default.
- W4308128830 hasConcept C120665830 @default.
- W4308128830 hasConcept C121332964 @default.
- W4308128830 hasConcept C127413603 @default.
- W4308128830 hasConcept C142362112 @default.
- W4308128830 hasConcept C153294291 @default.
- W4308128830 hasConcept C154945302 @default.
- W4308128830 hasConcept C15744967 @default.
- W4308128830 hasConcept C17500928 @default.
- W4308128830 hasConcept C19417346 @default.
- W4308128830 hasConcept C195886398 @default.
- W4308128830 hasConcept C205649164 @default.
- W4308128830 hasConcept C2775924081 @default.
- W4308128830 hasConcept C2775936607 @default.
- W4308128830 hasConcept C2779844322 @default.
- W4308128830 hasConcept C41008148 @default.
- W4308128830 hasConcept C41291067 @default.
- W4308128830 hasConcept C46423501 @default.
- W4308128830 hasConcept C47446073 @default.
- W4308128830 hasConcept C52119013 @default.
- W4308128830 hasConcept C554144382 @default.
- W4308128830 hasConcept C78519656 @default.
- W4308128830 hasConcept C9695528 @default.
- W4308128830 hasConcept C97541855 @default.
- W4308128830 hasConceptScore W4308128830C119599485 @default.
- W4308128830 hasConceptScore W4308128830C120665830 @default.
- W4308128830 hasConceptScore W4308128830C121332964 @default.
- W4308128830 hasConceptScore W4308128830C127413603 @default.
- W4308128830 hasConceptScore W4308128830C142362112 @default.
- W4308128830 hasConceptScore W4308128830C153294291 @default.
- W4308128830 hasConceptScore W4308128830C154945302 @default.
- W4308128830 hasConceptScore W4308128830C15744967 @default.
- W4308128830 hasConceptScore W4308128830C17500928 @default.
- W4308128830 hasConceptScore W4308128830C19417346 @default.
- W4308128830 hasConceptScore W4308128830C195886398 @default.
- W4308128830 hasConceptScore W4308128830C205649164 @default.
- W4308128830 hasConceptScore W4308128830C2775924081 @default.
- W4308128830 hasConceptScore W4308128830C2775936607 @default.
- W4308128830 hasConceptScore W4308128830C2779844322 @default.
- W4308128830 hasConceptScore W4308128830C41008148 @default.
- W4308128830 hasConceptScore W4308128830C41291067 @default.
- W4308128830 hasConceptScore W4308128830C46423501 @default.
- W4308128830 hasConceptScore W4308128830C47446073 @default.
- W4308128830 hasConceptScore W4308128830C52119013 @default.
- W4308128830 hasConceptScore W4308128830C554144382 @default.
- W4308128830 hasConceptScore W4308128830C78519656 @default.
- W4308128830 hasConceptScore W4308128830C9695528 @default.
- W4308128830 hasConceptScore W4308128830C97541855 @default.
- W4308128830 hasIssue "21" @default.
- W4308128830 hasLocation W43081288301 @default.
- W4308128830 hasOpenAccess W4308128830 @default.
- W4308128830 hasPrimaryLocation W43081288301 @default.
- W4308128830 hasRelatedWork W1500502236 @default.
- W4308128830 hasRelatedWork W2613840726 @default.