Development of Artificial Intelligence (A.I.) Based Energy Management System (EMS) Software

TROES Corp.是一家总部位于哥伦比亚的先进电池储能公司，专门从事智能分布式储能解决方案。TROES主要开发，设计，制造和提供高性能，经过严格测试的创新人工智能（AI）物联网和基于云的能源存储系统，用于工业，商业和机构部门。TROES在行业中迅速发展，开发了基于云的能源管理系统（EMS）软件，该软件成功运行，具有各种有用的能源监测功能和功能。然而，鉴于准确预测电力需求对于决策者有效管理能源系统至关重要，因此需要继续研究人工智能的整合。与兰顿学院的合作项目将专注于为电池储能系统（BESS）开发一个完整的基于人工智能（AI）的能源管理系统（EMS）软件。该软件将能够远程监控多个电池系统，读取所有信息并将信息存储在基于云的服务器中，并预测负载，然后决定如何为电池系统充电或放电，以确保最终用户的最高经济利润。这将通过调查电力需求预测解决方案的实施情况和利用监测收集的数据来改善系统荷电状态（SOC）估计方法来实现。这是业界公认的问题，因此，通过提高SOC的准确性，系统可以避免电池的过度使用，并在更长的时间内保持电池的寿命周期。总的来说，我们的目标是为客户提供更高的电池储能系统性能，以及远程监控和故障排除各个国家的TROES电池系统。随着收入增加30%，预计将在三年内创造额外的五个全职就业岗位。此外，这将对环境产生持久的积极影响，因为TROES电池可以通过电网或可再生能源有效充电，从而减少二氧化碳排放。

TROES Corp. is a Canadian-based, advanced battery energy storage company that specializes in smart distributed energy storage solutions. Primarily, TROES develops, designs, manufactures and delivers high-performance, rigorously tested innovative Artificial Intelligence (AI) based IoT and cloud-based energy storage systems to industrial, commercial, and institutional sectors. TROES is quickly advancing in the industry with the development of a cloud-based Energy Management System (EMS) software that is successfully running live with various useful energy monitoring features and functions. However, given that accurate forecasting of electricity demand is critical to decision-makers in order to effectively manage energy systems, continued research on the integration of AI is required. The collaborative project with Lambton College will focus on developing a complete Artificial Intelligence (AI) based Energy Management System (EMS) software for Battery Energy Storage System (BESS). This software will be able to remotely monitor multiple battery systems, read all information and store information in cloud-based servers, and forecast load to then make the decision on how to charge or discharge the battery system ensuring the highest economic profit for end-users. This will be accomplished by investigating the implementation of electricity demand forecast solutions and utilizing the collected data from monitoring to improve the system State of Charge (SOC) estimate method. This is a recognized problem in the industry and therefore, by increasing the accuracy of SOC, the system can avoid over-usage of battery and maintain the battery life cycle for a longer period of time. Overall, the goal is to provide clients with increased performance on the battery energy storage systems as well as to remotely monitor and troubleshoot TROES battery system in various countries. With increased revenue by 30% it is estimated that an additional five full-time employment positions over three years will be created. As well, this will have a lasting positive impact on the environment as TROES batteries can be efficiently charged by grid power or by renewable energy sources, which, in turn, would reduce carbon dioxide emissions.