Energy management, in sense of computing optimized operation schedules for devices, will likely play a vital role in future carbon neutral energy systems, as it allows unlocking energy efficiency and flexibility potentials. However, energy management systems need to be applied at large scales to realize the desired effect, which clearly requires minimization of costs for setup and operation of the individual applications. In order to push the latter forward, we promote an approach to split the complex optimization algorithms employed by energy management systems into standardized components, which can be provided as a service with marginal costs at scale. This work is centered around the systematic design of a framework supporting the efficient implementation and operation of such forecasting and optimization services. Furthermore, it describes the implementation of the design concept which we release under the name \emph{Energy Service Generics} as a free and open source repository. Finally, this paper marks the starting point of the \emph{Open Energy Services} community, our effort to continuously push the development and operation of services for energy management applications at scale, for which we invite researchers and practitioners to participate.

翻译：能源管理，即计算设备最优运行调度方案，在未来碳中和能源系统中有望发挥关键作用，因其能够释放能效与灵活性潜力。然而，能源管理系统需大规模部署才能实现预期效果，这必然要求降低单个应用的搭建与运维成本。为推进这一目标，我们提出将能源管理系统所采用的复杂优化算法拆解为标准化的组件，并以边际成本提供规模化服务。本文围绕系统化设计可支持此类预测与优化服务高效实现与运行的框架展开。进一步，我们阐述了设计概念的具体实现，并以《Energy Service Generics》为名发布为自由开源代码库。最后，本文标志着《开放能源服务》社区的起点——我们致力于持续推动大规模能源管理应用相关服务的开发与运营，诚邀研究人员与从业者参与。