The increased digitalisation and monitoring of the energy system opens up numerous opportunities to decarbonise the energy system. Applications on low voltage, local networks, such as community energy markets and smart storage will facilitate decarbonisation, but they will require advanced control and management. Reliable forecasting will be a necessary component of many of these systems to anticipate key features and uncertainties. Despite this urgent need, there has not yet been an extensive investigation into the current state-of-the-art of low voltage level forecasts, other than at the smart meter level. This paper aims to provide a comprehensive overview of the landscape, current approaches, core applications, challenges and recommendations. Another aim of this paper is to facilitate the continued improvement and advancement in this area. To this end, the paper also surveys some of the most relevant and promising trends. It establishes an open, community-driven list of the known low voltage level open datasets to encourage further research and development.
翻译:能源系统数字化和监测的增加为能源系统脱碳开辟了许多机会。低电压、地方网络(如社区能源市场和智能储存)的应用将促进脱碳,但它们需要先进的控制和管理。可靠预测将是许多这类系统的必要组成部分,以预测关键特点和不确定性。尽管如此,除了智能计量层之外,尚未对低电压水平预测的现状进行广泛调查。本文旨在全面概述景观、当前方法、核心应用、挑战和建议。本文的另一个目的是促进该领域的持续改进和进步。为此,本文还调查了一些最相关和最有希望的趋势。文件还列出了一个公开的、由社区驱动的已知低电压水平开放数据集清单,以鼓励进一步研究和开发。