We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel and convenient solution to enable the ubiquitous charging of nearby IoT devices. Therefore, capturing the wireless energy sharing loss is essential for the successful deployment of efficient energy service composition techniques. We propose Easeformer, a novel attention-based algorithm to predict the battery levels of IoT devices in a crowdsourced energy sharing environment. The predicted battery levels are used to estimate the energy loss. A set of experiments were conducted to demonstrate the feasibility and effectiveness of the proposed framework. We conducted extensive experiments on real wireless energy datasets to demonstrate that our framework significantly outperforms existing methods.

翻译：我们提出了一种新颖的能量损耗预测（ELP）框架，用于估算共享众包能源服务中的能量损耗。众包无线能源服务是一种新颖且便捷的解决方案，可为附近物联网设备实现普适充电。因此，捕捉无线能量共享损耗对于高效能源服务组合技术的成功部署至关重要。我们提出Easeformer，一种基于注意力机制的新型算法，用于预测众包能源共享环境中物联网设备的电池电量水平。预测的电池电量水平被用于估算能量损耗。通过一系列实验验证了所提框架的可行性和有效性。我们在真实无线能源数据集上进行了大量实验，结果表明我们的框架显著优于现有方法。