The existing sensor network trust evaluation model cannot be directly applied to the new power system distributed home photovoltaic collection scenario, which is difficult to meet the requirements of strong computing ...
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With the rapid development of cloud computing, Internet of Things, AI and other technologies, edge computing technology has also developed rapidly. To be on the safe side, especially those mid-sized, larger utilities ...
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Science collaborations use computer grids to run expensive computational tasks on large data sets. Tasks as jobs across the network demand data and thereby workload management and data allocation to maintain the compu...
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To facilitate the implementation of distributed energy resource management systems (DERMS), we propose to insert a grid-edge distributed energy resource (DER) chip hosting a DERMS algorithm into the next generation of...
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With the rapid development of digital economy, numerous business scenarios, such as smart grid, energy network, intelligent transportation, etc., require the design and distribution of deep neural network (DNN) models...
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Based on the results of online loss calculations, we comprehensively utilize the existing massive data of power grid companies, and conduct in-depth mining of abnormal line loss rate lines or stations by using big dat...
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ISBN:
(纸本)9781665416061
Based on the results of online loss calculations, we comprehensively utilize the existing massive data of power grid companies, and conduct in-depth mining of abnormal line loss rate lines or stations by using big data technologies such as Hadoop offline distributedcomputing and Spark memory computing to identify possible occurrences. Electricity stealing, providing electricity theft warning and data support services for power supply companies' anti-electricity theft inspections. The data collected on the spot proves the effectiveness of the structured anti-theft model, and provides an effective method for solving the problem of monitoring the behavior of electricity theft under the condition of big data.
Enterprises want to obtain core competitiveness in the increasingly fierce market competition, to obtain greater benefits, improve the level of enterprise information will be one of the important means. At present, en...
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ISBN:
(纸本)9798350347456
Enterprises want to obtain core competitiveness in the increasingly fierce market competition, to obtain greater benefits, improve the level of enterprise information will be one of the important means. At present, enterprises have built a large number of application systems, which play an important role in their own business areas, but they often cannot work well with each other, independent of each other, thus forming many information islands in the enterprise. In order to solve the problems of "difficult reuse"and "difficult integration"in the informatization of electric power enterprises, this paper suggests that the Service Oriented Architecture (SOA) should be applied to the operation support system of electric power enterprises to realize function reuse and data sharing. This paper presents a model of power supply enterprise operation support system based on SOA architecture, which includes an information integration platform, an enterprise portal and a series of business application systems. The information integration platform is used to realize enterprise application integration. The platform uses the enterprise service Bus to act as the intermediary between service requester and service provider, avoiding point-to-point integration. The business functions provided by the business application system are realized through the best implementation technology of SOA - Web services, and these Web services will be published on the information integration platform to achieve functional reuse. Data and services on the information integration platform can be displayed through the enterprise portal. Unlike traditional tightly coupled enterprise portals, soA-BASED enterprise portals are loosely coupled, and the functionality of their user interfaces can be reused, combined, and tailored. The new data scheduling algorithm in smart grid proposed in this paper can ensure that the data scheduling priority sensitive to time delay is superior to the data insensitive to time
This paper introduces geographic information system display technology, distributed big data processing architecture, measuring equipment anomaly self-learning analysis technology and other advanced technologies to ac...
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The explosive growth of power data in the process of new power system business operation has high utilization value, how to maximize the value of data mining at the same time, to ensure its privacy in the collection, ...
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The proceedings contain 245 papers. The topics discussed include: demand response supported energy management framework for residential users;torque ripple analysis of five-phase induction motor drive with pentacle co...
ISBN:
(纸本)9798350310573
The proceedings contain 245 papers. The topics discussed include: demand response supported energy management framework for residential users;torque ripple analysis of five-phase induction motor drive with pentacle connected stator windings;an innovative islanding detection scheme in a distributed generation using phase angle between negative sequence superimposed components of voltage and current;SPARK technology for condition monitoring of solar power plants;power quality improvement with hybrid shunt active power filter;LLC resonant converter based led driver fed by single phase high power factor boost converter;residential demand response using Q-learning with pursuit algorithm for action selection;communication independent islanding detection technique utilizing wavelet packet transform;effective power management and stability analysis of MIMO EV charging station;and force and motion analysis of blade-less wind energy harvesters.
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