The exponential growth of distributed energy resources is enabling the transformation of traditional consumers in the smart grid into prosumers. Such transition presents a promising opportunity for sustainable energy trading. Yet, the integration of prosumers in the energy market imposes new considerations in designing unified and sustainable frameworks for efficient use of the power and communication infrastructure. Furthermore, several issues need to be tackled to adequately promote the adoption of decentralized renewable-oriented systems, such as communication overhead, data privacy, scalability, and sustainability. In this article, we present the different aspects and challenges to be addressed for building efficient energy trading markets in relation to communication and smart decision-making. Accordingly, we propose a multi-level pro-decision framework for prosumer communities to achieve collective goals. Since the individual decisions of prosumers are mainly driven by individual self-sufficiency goals, the framework prioritizes the individual prosumers' decisions and relies on the 5G wireless network for fast coordination among community members. In fact, each prosumer predicts energy production and consumption to make proactive trading decisions as a response to collective-level requests. Moreover, the collaboration of the community is further extended by including the collaborative training of prediction models using Federated Learning, assisted by edge servers and prosumer home-area equipment. In addition to preserving prosumers' privacy, we show through evaluations that training prediction models using Federated Learning yields high accuracy for different energy resources while reducing the communication overhead.
翻译:分散的能源资源迅速增长,有助于将智能电网的传统消费者转变为期票。这种过渡为可持续能源贸易提供了一个大有希望的机会。然而,在设计有效使用电力和通信基础设施的统一和可持续框架时,将建筑师纳入能源市场带来了新的考虑。此外,需要解决几个问题,以充分促进采用分散的可再生能源型系统,如通信间接费用、数据保密、可缩放性和可持续性等。在本篇文章中,我们介绍了在通信和智能决策方面建立高效的能源交易市场需要解决的不同方面和挑战。因此,我们提议了一个多层次的代理商社区实现集体目标的有利决定框架。由于个人自足目标主要驱动的是建筑师的个别决定,因此该框架优先考虑个人支付商的决定,并依靠5G无线网络在社区成员之间迅速协调。事实上,每个建筑师都预测能源生产和消费,以作出积极主动的贸易决定,作为对集体一级要求的回应。此外,我们进一步扩展了社区的合作,在使用预测模型的同时,利用固定的准确性模型,利用固定的准确性服务器,以展示我们所支持的高空空间的预测性模型,从而显示我们所展示的准确性。