  We propose a novel Quality of Experience (QoE)-aware framework to crowdsource
IoT energy services efficiently. The proposed framework leverages the
provisioning of energy services as an auxiliary to increase consumers'
satisfaction. A novel QoE model is developed as a metric to assess the
consumers' satisfaction with the provisioning of energy services. Two novel
composition algorithms, namely, Partial-Based (PB) and Demand-Based (DB)
approaches, are proposed to ensure the highest QoE for consumers. Both
approaches leverage the providers' flexibility and shareable nature of energy
services to efficiently allocate services and optimize the QoE. A set of
extensive experiments is conducted to evaluate the proposed approaches'
efficiency and effectiveness.
