  We propose a novel reliability model for composing energy service requests.
The proposed model is based on consumers' behavior and history of energy
requests. The reliability model ensures the maximum incentives to providers.
Incentives are used as a green solution to increase IoT users' participation in
a crowdsourced energy sharing environment. Additionally, adaptive and priority
scheduling compositions are proposed to compose the most reliable energy
requests while maximizing providers' incentives. A set of experiments is
conducted to evaluate the proposed approaches. Experimental results prove the
efficiency of the proposed approaches.
