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33results about How to "Narrow selection" patented technology

Joint planning method for wind power plant, power transmission network and energy storage based on chance-constrained IGDT

InactiveCN109728605AReasonable planning and decision-makingFlexible planning decisionsSingle network parallel feeding arrangementsEnergy storageDecompositionPlanning method
The invention discloses a joint planning method for a wind power plant, a power transmission network and energy storage based on a chance-constrained IGDT, which comprises the steps of firstly acquiring wind power plant planning data, energy storage planning data, basic technical data of the system, system operation constraint data and system operation prediction data, and then constructing a joint planning model objective function of the building lower bound of the wind power plant, and building model decision-making constraints; then constructing a joint planning model objective function ofthe building upper bound of the wind power plant, and building model constraints; respectively solving the joint planning model objective functions of the building upper bound and lower bound of the wind power plant according to the a solving algorithm based on the Benders decomposition strategy, and acquiring the optimal planning solution for planning. Compared with a single-aspect planning method, the joint planning method provided by the invention has better economy and wind power utilization efficiency and can better meet various requirements of the system operation, thereby greatly improving the consumption level of wind power, and increasing the investment income of wind power.
Owner:XI AN JIAOTONG UNIV

Method for configuring multilevel transmitting power in wireless sensor network

The invention discloses a method for configuring multilevel transmitting power in the wireless sensor network. When a communication service is initially initiated by a sending node to a receiving node in the wireless sensor network, the theoretical communication distance between the two communication nodes is measured and calculated by the sending node. Theoretical transmitting power needed by the nodes is calculated, the stages of the transmitting power are initially selected, and each transmitting power stage is provided with a plurality of transmitting power values. The node no-load received signal strength instruction namely RSSI detection is sent out, and the needed transmitting power stages are dynamically adjusted. The minimum effective transmitting power value is determined from the selected transmitting power stages based on the exploratory transmitting power control method. The transmitting power values determined based on the power setting method are stored, and the transmitting power is set to initiate the communication service. The two nodes initiate the communication service again to directly acquire the stored transmitting power, and if the communication is failed, the stored transmitting power values are eliminated, and the method for configuring the multilevel transmitting power is launched again to set the transmitting power value suitable for a communication link.
Owner:SOUTHEAST UNIV

Feature combination method and device, medium and electronic equipment

The invention provides a feature combination method and device, a medium and electronic equipment, and the method comprises the steps: taking a plurality of samples comprising a plurality of differentfeature domains as input of a neural network model, and obtaining an interpretation vector corresponding to each feature domain in the plurality of samples; marking the feature domain of which the interpretation vector meets a preset condition, the preset condition including that the absolute value of the interpretation vector is greater than a set threshold; sequentially selecting a preset number of combined feature domains as candidate combined feature domains according to the sequence of the marked frequencies of the feature domains from large to small; and selecting a target combined feature domain matched with the target model from the plurality of candidate combined feature domains. According to the method, by obtaining the interpretation vectors corresponding to the multiple different feature domains, the candidate combined feature domains having good influence on an output result of the neural network model are screened out, the selection range of the combined feature domainsis narrowed, the screening complexity of the combined feature domains is reduced, and the finally obtained combined feature domains have interpretability.
Owner:BEIJING REALAI TECH CO LTD

Method and device for determining link prediction algorithm type

The invention provides a method and a device for determining a link prediction algorithm type. The method for determining the link prediction algorithm type comprises the following steps: acquiring asampling network obtained by performing network sampling on an initial network; calculating a multivariate closure probability corresponding to a multivariate closure node structure composed of a plurality of nodes in the sampling network; calculating a structured heterogeneous index of the sampling network according to the multivariate closure probability; and determining a link prediction algorithm type corresponding to the structured heterogeneous index in a preset link prediction algorithm type set, and taking the link prediction algorithm type as a target link prediction algorithm type ofa link prediction algorithm adopted for link prediction of nodes in the initial network. According to the link prediction algorithm type determination method provided by the invention, the target link prediction algorithm type of the link prediction algorithm for performing link prediction on the nodes in the initial network is determined by calculating the structured heterogeneous index of the sampling network, so that the selection range of the link prediction algorithm is reduced, and the efficiency of selecting the link prediction algorithm is improved.
Owner:ADVANCED NEW TECH CO LTD

Feature combination method, apparatus, medium and electronic device

The present application provides a feature combination method, device, medium, and electronic equipment, the method including: using multiple samples including multiple different feature domains as the input of the neural network model, and obtaining the corresponding explanation of each feature domain in the multiple samples Vector; mark the feature domains whose interpretation vectors meet the preset conditions, wherein the preset conditions include that the absolute value of the interpretation vector is greater than the set threshold; according to the order of the frequency of each feature domain being marked from more to less, sequentially select A preset number of combined feature domains are used as candidate combined feature domains; a target combined feature domain matching the target model is selected from multiple candidate combined feature domains. This application obtains the respective interpretation vectors corresponding to multiple different feature domains, thereby screening candidate combined feature domains that have a better impact on the output of the neural network model, narrowing the selection range of combined feature domains, and reducing the complexity of screening combined feature domains degree, and the resulting combined feature domain is interpretable.
Owner:BEIJING REALAI TECH CO LTD

Inter-flow temperature difference prediction method and structure optimization method for multi-flow tundish

The invention belongs to the technical field of steelmaking continuous casting, and discloses an inter-flow temperature difference prediction method and a structure optimization method of a multi-flow tundish. The prediction method comprises the following steps: designing a tundish experiment scheme; a water model with the similarity ratio of lambda is designed, and stagnation time and peak time are obtained; establishing a numerical simulation model, and obtaining an inter-flow temperature difference; performing polynomial fitting on the inter-flow temperature difference and the stagnation time to obtain a first fitting function; performing polynomial fitting on the inter-convection temperature difference and the peak time to obtain a second fitting function; performing mutual optimization verification on the first fitting function and the second fitting function to obtain a consistent inter-flow temperature difference through the first fitting function and the second fitting function; and calculating to obtain the inter-flow temperature difference of any tundish. According to the prediction method, temperature difference prediction is carried out no longer by means of a simulation calculation program, so that the prediction process is greatly simplified, and the prediction time is saved. The structure optimization method is carried out on the basis of the temperature difference prediction method, so that an optimal optimization scheme can be better obtained.
Owner:ANHUI UNIVERSITY OF TECHNOLOGY +1

Multi-level transmission power configuration method for wireless sensor network

The invention discloses a method for configuring multilevel transmitting power in the wireless sensor network. When a communication service is initially initiated by a sending node to a receiving node in the wireless sensor network, the theoretical communication distance between the two communication nodes is measured and calculated by the sending node. Theoretical transmitting power needed by the nodes is calculated, the stages of the transmitting power are initially selected, and each transmitting power stage is provided with a plurality of transmitting power values. The node no-load received signal strength instruction namely RSSI detection is sent out, and the needed transmitting power stages are dynamically adjusted. The minimum effective transmitting power value is determined from the selected transmitting power stages based on the exploratory transmitting power control method. The transmitting power values determined based on the power setting method are stored, and the transmitting power is set to initiate the communication service. The two nodes initiate the communication service again to directly acquire the stored transmitting power, and if the communication is failed, the stored transmitting power values are eliminated, and the method for configuring the multilevel transmitting power is launched again to set the transmitting power value suitable for a communication link.
Owner:SOUTHEAST UNIV
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