Onen, AhmetJung, JaesungGuerrero, Josep M. MLee, Chul-HoHossain, Md Alamgir2023-03-092023-03-0920222296-598XWOS:000900440900001https://doi.org/10.3389/fenrg.2022.1100740https://hdl.handle.net/20.500.12573/1502One of the biggest challenges in the current power system operation is caused by the large scale integration of distributed energy resources (DERs) that have high volatility generations (Uzum et al., 2021). Communication and control technologies are significantly improved to provide direct interaction between agents and customers, such as in peer-to-peer frameworks. In addition, the recent developments in monitoring, sensor networks, and advanced metering infrastructure (AMI) greatly enhance the variety, volume, and speed of measurement data in electricity transmission and distribution networks. By harnessing these technologies, the application of big data, artificial intelligence, and machine learning methods can be implemented to overcome the challenges from massive DERs integration in power systems. However, these technologies require a large amount of capital to operate, which can lead to financial loss if used without an appropriate strategy. In this context, the topics of interest of this Research Topic address market-based DER operations, regulation, and decision-making, and analyze the impact of market-based DER operation on power systems.enginfo:eu-repo/semantics/openAccessrenewable resourcesdistributed energy sourceelectricity marketbig data applicationartificial intelligencearticle1012