Adeyemo, Gabriel2023-09-122023-09-122021-10https://unbscholar.lib.unb.ca/handle/1882/37362Renewable energy has caused rapid advancements in electric power systems. The advanced grid is a smart grid with information and communication technologies and bi-directional flow of information. Data in a smart grid aligns with the characteristics of big data. Choosing the most efficient technology to manage data in the grid (real and/or simulation) is crucial to the performance of the grid. This project explores a framework that supports large scale power and network co-simulation and manages communication and data in smart grid co-simulation, real world smart grid systems and a combination of both using message-oriented middleware and cloud technologies. We designed and implemented a framework with RabbitMQ, Apache Kafka, OpenDSS, OMNeT++, Apache Spark, Docker and Kubernetes. We evaluate our implementation on accuracy, scale and usability with three applications including a demand-response application based on logistic regression. The results of our evaluation meet the goals defined for the research thesis.xi, 96electronicenhttp://purl.org/coar/access_right/c_abf2master thesisKent, Kenneth B.Computer Science