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In order to solve the problem of slow convergence of the basic firefly algorithm, a modified method was proposed. In the modified firefly algorithm, the parameters of the algorithm can be adjusted adaptively according to the lightness variance of the firefly population. And the random movement step can be determined in accordance with the distance of two fly flies. Meanwhile, the method of autonomous...
In this paper, a novel integrated scheduling problem for intelligent regional grid (IRG) is introduced. It comprehensively determines the on-off state of the PVs and wind fans as well as the quantity of the adjustable user load, main grid injection and the charge/discharge power of the storage units. Three optimization objectives are considered separately, i.e., to maximize the net income of the regional...
This paper explores the scheduling of hydroelectric station during the flood season when the flood is hard to predict. Specifically, how to regulate the capacity of reservoir during the flood season to decrease the loss and maintain the generation efficiency from hydroelectric station will be elaborated in present work. In order to achieve this objective, online algorithm will be applied here to analyze...
Electricity consumption forecast is very important for both suppliers and large consumers. The electricity consumption of a large enterprise is different from the regional grid, especially for an energy intensive enterprise (EIE). This paper investigates the daily electricity consumption forecast of an EIE by the operating condition. By observation, the electricity consumption is related to maintenance...
We study the problem of mining frequent itemset from probabilistic data. Firstly, to solve the semantic corruption brought by expected frequent itemset conception, we define the probabilistic frequent itemset which is consistent with possible world model and holds the apriori property. Secondly, we develop a dynamic programming like polynomial algorithm for testing candidate frequent itemsets. Finally,...
The energy consumption and the lifetime in wireless sensor network (WSN) can be investigated from the perspective of network topology division. A connected key nodes discovering algorithm based on loop detection between neighbor nodes was proposed in this paper. Moreover, we proposed the principle and theoretical analysis of this algorithm. This algorithm can be used to find the connected key nodes...
AdaBoost is known as an effective method to improve the performance of base classifiers both theoretically and empirically. However, previous studies have shown that AdaBoost is always prone to overfitting especially in noisy case. In addition, most current works on Boosting assume that the loss function is fixed and therefore do not take the distinction between noisy case and noise-free case into...
In order to research spatiotemporal database and corresponding datasets based on the port scheduling management, this paper has founded a mathematical model of ships while they come into or go out of the port during scheduling. Meanwhile basing on the datasets supported by the spatiotemporal database theory, three data structure has been defined to store a single object instance, dispose a single...
Corner that is invariant to geometry transform and illumination change is a very important feature for image registration and target recognition etc. Corners extracted using intensities directly are robust, but with poor property in localization. Corners extracted by edge information are invariant to geometry transform and outstanding in localization, but not robust. Therefore in this paper, an algorithm...
In this paper, two novel antenna selection algorithms based cost function for multiple-input multiple- output (MIMO) wireless system are introduced, which are named Increasing selection Based Cost Function (IncBCF) and Decreasing selection Based Cost Function (DecBCF), respectively. The proposed antenna selection algorithms are only considered at the receiver, which aim at maximizing channel capacity...
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