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数据驱动窃电检测方法综述与低误报率研究展望
金晟, 苏盛, 薛阳, 杨艺宁, 刘厦, 曹一家 - 电力系统自动化, 2022 - epjournal.csee.org.cn
配电系统窃电是造成电网非技术损失的主要原因, 是供电企业运营管理中长期面对的痼疾.
用电信息采集系统采集的海量用户数据使得开展数据驱动的用电异常检测 …
用电信息采集系统采集的海量用户数据使得开展数据驱动的用电异常检测 …
数据驱动的综合能源系统负荷预测综述
朱继忠, 董瀚江, **盛林, 陈梓瑜, 骆腾燕 - **电机工程学报, 2021 - epjournal.csee.org.cn
为了进一步提高能源的利用效率, 综合能源系统(integrated energy system, IES)
使各种能源系统间联系更加紧密, 已经成为能源转型过程中一种重要的能源利用方式. IES …
使各种能源系统间联系更加紧密, 已经成为能源转型过程中一种重要的能源利用方式. IES …
Method for reservoir permeability prediction and qualityevaluation based on BP neural network
M WANG, Y DONG, J CAI, HB LIU, ZJ LIU… - Progress in …, 2023 - en.dzkx.org
Reservoir permeability prediction and evaluation is one of the core technologies that need to
be brokenin the exploration and development of oil and gas reservoirs, the research of BP …
be brokenin the exploration and development of oil and gas reservoirs, the research of BP …
[PDF][PDF] 电机定子绝缘老化寿命预测研究进展
高俊国, 孟睿潇, 胡海涛… - TRANSACTIONS OF …, 2020 - dgjsxb.ces-transaction.com
摘要大型发电机在运行过程中受到运行状态和环境的影响, 定子绝缘易出现损坏而导致发电机
故障. 定子绝缘寿命预测作为多年来研究的热点, 也是提高发电机运行稳定性的重要途径 …
故障. 定子绝缘寿命预测作为多年来研究的热点, 也是提高发电机运行稳定性的重要途径 …
Quantitative seismic characterization of source rocks in lacustrine depositional setting using the Random Forest method: An example from the Changjiang sag in East …
Z Luan**ao, LIU **Shui, YAO Yun**a, Z Kai… - Chinese Journal of …, 2021 - dzkx.org
Quantitative seismic characterization of source rocks is of great significance for well
placements, reservoir potential evaluation, and estimation of oil and gas resources. Source …
placements, reservoir potential evaluation, and estimation of oil and gas resources. Source …
Soil salinity retrieval model based on OLI and HSI image fusion
Y Li, G Zhao, C Chang, Z Wang… - Transactions of the …, 2017 - ingentaconnect.com
Soil salinization is the main problem of land degradation in the Yellow River Delta of China.
Remote sensing technology can gain soil salinization information quickly and accurately …
Remote sensing technology can gain soil salinization information quickly and accurately …
Integrated intelligent decision-making technology for deep coalbed methane geology and engineering based on big data analysis algorithms
B Gong, H Wang, H Wang, W Song, X Sun… - Acta Petrolei …, 2023 - syxb-cps.com.cn
The exploration and development of coalbed methane are facing increasingly complex
challenges, accompanied by a worsening of the quality of resources. It is imperative to …
challenges, accompanied by a worsening of the quality of resources. It is imperative to …
基于大数据分析算法的深部煤层气地质—工程一体化智能决策技术
龚斌, 王虹雅, 王红娜, 宋伟, 孙雄伟, 杨京华 - 石油学报, 2023 - syxb-cps.com.cn
煤层气勘探开发形势日趋复杂, 资源品质劣化程度加剧. 明确煤层气高产主控因素与作用机理,
建立地质—工程综合甜点评价方法, 提高煤层气动态预测精确度和工程决策有效性 …
建立地质—工程综合甜点评价方法, 提高煤层气动态预测精确度和工程决策有效性 …
Stock market trend analysis using hidden Markov model and long short term memory
M Liu, J Huo, Y Wu, J Wu - arxiv preprint arxiv:2104.09700, 2021 - arxiv.org
This paper intends to apply the Hidden Markov Model into stock market and and make
predictions. Moreover, four different methods of improvement, which are GMM-HMM, XGB …
predictions. Moreover, four different methods of improvement, which are GMM-HMM, XGB …
Automatic phase detection and arrival picking for microseismic events in hydraulic fracturing based on machine learning and array correlation
Using dense array to monitor microseismicity can help optimize hydraulic fracturing and
reveal fault activations. To meet the demand of processing a larger amount of data acquired …
reveal fault activations. To meet the demand of processing a larger amount of data acquired …