The increased digitalisation and monitoring of the energy system opens up numerous opportunities % and solutions which can help to decarbonise the energy system. Applications on low voltage (LV), localised 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 LV level open datasets to encourage further research and development.
翻译:能源系统数字化和监测的增加带来了许多机会 %, 以及有助于能源系统脱碳的解决方案。低电压应用(LV)、本地化网络(如社区能源市场和智能储存)将促进去碳化,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,以预测关键特征和不确定性。尽管如此紧迫的需要,但除了智能计量层面外,尚未对目前低电压水平预测的最新水平进行广泛调查。本文件旨在全面概述地貌、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。本文件还列出了已知的低电压水平开放数据集的公开、由社区驱动的清单,以鼓励进一步研究和开发。