Q-REINFORCEMENT LEARNING BASED MULTI-AGENT BELLMANFORD ROUTING ALGORITHM FOR SMART MICROGRID COMMUNICATION NETWORK
Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. The communication network in microgrids is a very complex and time-variant system that needs to reserve network resources to count on several possible situations of failure resulting in limited r...
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| Format: | Thesis |
| Language: | English |
| Published: |
2021
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/24718/1/NIHARIKA%20SINGH%2017005183.pdf http://utpedia.utp.edu.my/id/eprint/24718/ |
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