Optimal Prediction in Local Electricity Markets

在接下来的四年里，该奖学金的目标是建立一支在当地能源市场随机建模方面处于国际领先地位的研究团队。这位研究员和研究员将开发理论和数值方法来解决英国电力系统中新出现的数学问题，重点是对社区规模进行建模，以实现从这些市场的设计中获得最大福利利益。研究计划将在该研究员现有的能源小组的背景下进行，该小组包括三名在电力系统和能源储存领域工作的博士生。这项工作将涉及与英国其他概率学家、英国、美国和加拿大的电力系统工程师以及致力于此类问题的英国行业专家进行富有成效的互动。它将通过创建算法和软件产生重大影响，使当地电力市场的规划和运营问题能够得到有效的数字解决方案。更长期的影响将是进一步将曼彻斯特(和英国)打造成概率论在电力系统中跨学科应用的天才研究人员的中心。

Over the next four years this Fellowship aims to build an internationally leading research team in stochastic modelling of local energy markets. The Fellow and researcher will develop theory and numerical methods to solve emerging mathematical problems in UK power systems, with a focus on modelling the community scale, in order to achieve the maximum welfare benefit from the design of these markets. The research programme will be carried out in the context of the Fellow's existing Energy group, which includes three PhD students working in power systems and energy storage. This work will involve fruitful interactions with other probabilists in the UK, power systems engineers in the UK, US and Canada, and UK industry experts working on such problems. It will have significant impact through the creation of algorithms and software, enabling the efficient numerical solution of planning and operational problems for local electricity markets. A longer term impact will be to further establish Manchester (and the UK) as a centre for talented researchers in cross-disciplinary applications of probability theory to power systems.