蒸发 发表于 2025-3-23 10:20:09
MSS Models of Smart Grids with Multi-level Degradation and Recoveryes of the components cause functional and parametrical degradation of the substations. According with systems (DS) structure the reliability-block diagram (RBD), the structure function and the structure function and the Direct Partial Logical Derivatives (DPLDs) for RMSS “electronic transformers—mer反复拉紧 发表于 2025-3-23 15:33:40
Hybrid Adaptive Systems of Computational Intelligence and Their On-line Learning for Green IT in Enecience direction—Green IT. The hybrid neuro-neo-fuzzy system and its high-speed learning algorithm are proposed. This system can be used for on-line prediction of essentially non-stationary nonlinear chaotic and stochastic time series, which describe electrical load producing and consuming processesPsychogenic 发表于 2025-3-23 18:38:50
http://reply.papertrans.cn/39/3885/388437/388437_13.pngcrescendo 发表于 2025-3-24 00:34:49
http://reply.papertrans.cn/39/3885/388437/388437_14.pngConcrete 发表于 2025-3-24 04:34:59
https://doi.org/10.1007/978-3-662-48789-1afety. Information technologies are an important factor of energy consumption, safety and green culture. The paper describes concepts and taxonomy of green IT engineering. Main principles of development and implementation, indicators and values of green computing are analyzed. Description of EU projatrophy 发表于 2025-3-24 07:51:19
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https://doi.org/10.1007/978-3-642-95038-4 by human into the natural world (NW) are considered. The challenges solved in integration process include problems of the green technologies. The solution is based on achievement of a certain throughput, trustworthiness and investment of resources: models, methods and means. Throughput is aimed atCorral 发表于 2025-3-24 18:50:25
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http://reply.papertrans.cn/39/3885/388437/388437_19.pngBRACE 发表于 2025-3-25 00:03:40
https://doi.org/10.1007/978-3-642-92555-9 on the basis of the program source code and can help to choose the most optimal solution from the viewpoint of energy saving at the Software development stage. The method is based on the indication of energy consumption by the computer Random Access Memory (RAM) depending upon how intensive the RAM