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Titlebook: Applications of Artificial Intelligence in Planning and Operation of Smart Grids; Mehdi Rahmani-Andebili Book 2022 The Editor(s) (if appli

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發(fā)表于 2025-3-23 12:51:14 | 只看該作者
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發(fā)表于 2025-3-23 16:06:58 | 只看該作者
Das Projekt Jugendkriminalit?t in Kasselntly to improve the prediction accuracy of the models. In this chapter, a novel three-stage hybrid model of Neighborhood Component Analysis (NCA), and Artificial Neuronal Network (ANN) optimized with Particle Swarm Optimization (PSO) is introduced. First, the NCA technique is applied as a feature ex
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發(fā)表于 2025-3-23 20:10:20 | 只看該作者
Kurt H. G. Groll,Bettina Landerfficient way. Short-term and long-term electricity forecasts are vital for energy providers, regulators, and consumers when planning and operating grids, estimating tariffs, and calculating energy supply and demand. This chapter explores the applications of artificial intelligence in short-term and
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發(fā)表于 2025-3-23 23:24:53 | 只看該作者
Applications of Artificial Intelligence in Planning and Operation of Smart Grids978-3-030-94522-0Series ISSN 1612-1287 Series E-ISSN 1860-4676
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發(fā)表于 2025-3-24 04:21:54 | 只看該作者
Mehdi Rahmani-AndebiliCovers recent research advancements in applications of AI in planning and operation of smart grids.Applies AI-based techniques to deal with power system issues.Presents innovative approaches and studi
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發(fā)表于 2025-3-24 07:34:42 | 只看該作者
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發(fā)表于 2025-3-24 21:31:56 | 只看該作者
A New Agent-Based Machine Learning Strategic Electricity Market Modelling Approach Towards Efficienpenalization also becomes a part to assess the bidding strategy in electricity market through agent-based machine learning. A new interactive Variant Roth-Erev algorithm based approach is implemented in various agents, and the test system considered for the entire analysis is an IEEE 5-bus system. T
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發(fā)表于 2025-3-25 02:58:40 | 只看該作者
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