03937nam 22006135 450 991076752920332120251009100651.09783031460920303146092810.1007/978-3-031-46092-0(MiAaPQ)EBC30979409(Au-PeEL)EBL30979409(CKB)29126987500041(DE-He213)978-3-031-46092-0(EXLCZ)992912698750004120231129d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Analytics for Smart Grids Applications—A Key to Smart City Development /edited by Devendra Kumar Sharma, Rohit Sharma, Gwanggil Jeon, Raghvendra Kumar1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (466 pages)Intelligent Systems Reference Library,1868-4408 ;247Print version: Kumar Sharma, Devendra Data Analytics for Smart Grids Applications--A Key to Smart City Development Cham : Springer International Publishing AG,c2024 9783031460913 Data Analytics For Smart Grids And Applications - Present And Future Directions -- Design, Optimization and Performance Analysis of Microgrids using Multi-Agent Q-Learning -- Big Data Analytics for Smart Grid: A Review on State-of- Art Techniques and Future Directions -- Smart Grid Management for Smart City Infrastructure using Wearable Sensors -- Studies on Conventional and Advanced Machine Learning Algorithm towards Framing of Robust Data analytics for the Smart Grid Application -- Prediction and Classification For Smart Grid Applications -- A Review on Smart Metering Using Artificial Intelligence and Machine Learning Techniques: Challenges and Solutions.This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.Intelligent Systems Reference Library,1868-4408 ;247EngineeringData processingComputational intelligenceBig dataData EngineeringComputational IntelligenceBig DataEngineeringData processing.Computational intelligence.Big data.Data Engineering.Computational Intelligence.Big Data.620.00285Kumar Sharma Devendra1453377Sharma Rohit1429372Jeon Gwanggil1279103Kumar Raghvendra1424278MiAaPQMiAaPQMiAaPQBOOK9910767529203321Data Analytics for Smart Grids Applications—A Key to Smart City Development4450886UNINA