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Title: Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing
Award ID(s):
1936131 1943035
PAR ID:
10463460
Author(s) / Creator(s):
;
Date Published:
Journal Name:
IEEE Global Communications Conference
Page Range / eLocation ID:
4836 to 4841
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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