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Prosumers, such as energy storage, smart home, and microgrids, are the consumers who also produce and share surplus energy with other users. With capabilities of flexibly managing the generation, storage and consumption of energy in a simultaneous manner, prosumers can help improve the operation efficiency of smart grid. Due to the rapid expansion of prosumer clusters, the planning and operation issues of prosumer energy systems have been increasingly raised. Aspects including energy infrastructure design, energy management, system stability, etc., are urgently required to be addressed while taking full advantage of prosumers' capabilities. However, up to date, the research on prosumers has not drawn sufficient attention. This proposal presents the need to introduce a Research Topic on prosumer energy systems in Frontiers in Energy Research. We believe this Research Topic can promote the research on advanced planning and operation technologies of prosumer energy systems and contribute to the carbon neutrality for a sustainable society.
Rethinks how bureaucracy shapes foreign policy - miscalculation is less likely when political leaders can extract quality information from the bureaucracy.
The increasing pressure from energy and environmental protection has made the research for sustainable electrical energy urgent. The integration of high-proportion renewable energy resources offers significant achievements for decreased carbon emissions and increased economic costs. This calls for new concepts of modelling, monitoring, planning, optimization, control, etc. Due to the complexity of electrical energy systems (EES), it is challenging to design effective and smart solutions. The emerging digital technologies may provide promising solutions owing to the successful development of artificial intelligence, blockchain, edge computing, 5g/6g, etc. Moreover, digital technologies facilitate the integration of cyber and physical systems, which further benefits the intelligent detection, coordination, and management of EESs. There are many challenges that require further research and development on policy, architecture, modelling, planning, operation, optimization, and control for sustainable EESs.
Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis addresses uncertainty issues in photovoltaic power generation while also supporting the collaborative enhancement of understanding and applying theory and methods through the integration of models, cases, and code. The book employs StaRAI to address uncertainty analysis and modeling issues at different time scales in photovoltaic power generation, including photovoltaic power prediction, probabilistic power flow, stochastic planning, and more. Chapters cover uncertainty of PV power generation from short to long time scales, including day-ahead scheduling (24 hours in advance), intraday scheduling (minut...
In this changing world of food processing and handling, efficiency and safety are paramount. Artificial Intelligence in the Food Industry: Enhancing Quality and Safety offers a groundbreaking exploration of how artificial intelligence (AI) technologies can address these critical needs. This book explores the transformative potential of AI, machine learning (ML), and deep learning (DL) algorithms in revolutionizing the food industry. By overcoming the limitations of human involvement, AI ensures a more reliable demand-supply chain and enhances food safety. As the global population grows and food consumption reaches unprecedented levels, the demand for innovative solutions is urgent. This book...