It is important to distribute the load efficiently to minimize the cost of the economic dispatch of electrical power system. The uncertainty and volatility of wind energy make the economic dispatch much more complex w...It is important to distribute the load efficiently to minimize the cost of the economic dispatch of electrical power system. The uncertainty and volatility of wind energy make the economic dispatch much more complex when the general power systems are combined with wind farms. The short term wind power prediction method was discussed in this paper. The method was based on the empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD). Furthermore,the effect of wind farms on the traditional economic dispatch of electrical power system was analyzed. The mathematical model of the economic dispatch was established considering the environmental factors and extra spinning reserve cost. The multi-objective co-evolutionary algorithm was used to figure out the model. And the results were compared with the NSGA-Ⅱ(non-dominated sorting genetic algorithm-Ⅱ) to verify its feasibility.展开更多
Accurate and timely monthly rainfall forecasting is a major challenge for the scientific community in hydrological research such as river management project and design of flood warning systems. Support Vector Regressi...Accurate and timely monthly rainfall forecasting is a major challenge for the scientific community in hydrological research such as river management project and design of flood warning systems. Support Vector Regression (SVR) is a very useful precipitation prediction model. In this paper, a novel parallel co-evolution algorithm is presented to determine the appropriate parameters of the SVR in rainfall prediction based on parallel co-evolution by hybrid Genetic Algorithm and Particle Swarm Optimization algorithm, namely SVRGAPSO, for monthly rainfall prediction. The framework of the parallel co-evolutionary algorithm is to iterate two GA and PSO populations simultaneously, which is a mechanism for information exchange between GA and PSO populations to overcome premature local optimum. Our methodology adopts a hybrid PSO and GA for the optimal parameters of SVR by parallel co-evolving. The proposed technique is applied over rainfall forecasting to test its generalization capability as well as to make comparative evaluations with the several competing techniques, such as the other alternative methods, namely SVRPSO (SVR with PSO), SVRGA (SVR with GA), and SVR model. The empirical results indicate that the SVRGAPSO results have a superior generalization capability with the lowest prediction error values in rainfall forecasting. The SVRGAPSO can significantly improve the rainfall forecasting accuracy. Therefore, the SVRGAPSO model is a promising alternative for rainfall forecasting.展开更多
椭圆曲线公钥密码是公钥密码体制的主流方向之一.由于密钥短、计算速度快,该体制在智能卡和手机存储卡等受限的环境中得到了广泛的应用.椭圆曲线密码体系中最耗时的运算是标量乘.标量乘需要安全、有效、快速的实现算法.Montgomery算法...椭圆曲线公钥密码是公钥密码体制的主流方向之一.由于密钥短、计算速度快,该体制在智能卡和手机存储卡等受限的环境中得到了广泛的应用.椭圆曲线密码体系中最耗时的运算是标量乘.标量乘需要安全、有效、快速的实现算法.Montgomery算法是计算椭圆曲线标量乘的算法之一,它能够有效地抵抗简单能量分析.在Montgomery算法结构的基础上,文中首次利用统一Z坐标技巧和循环中间阶段不计算Y坐标的技巧,改进了有限域GF(3~m)上椭圆曲线的点加和倍点公式,构造了抵抗简单能量攻击的co-Z Montgomery算法.设I,M,C分别表示有限域上的求逆、乘法、立方.当域上的平方和乘法使用相同的算法时,理论分析表明每轮循环中,co-Z Montgomery算法比仿射Montgomery算法快I+C-5 M,比射影Montgomery算法快C+2 M,比使用"Selected Areas in Cryptography"2012上快速点加、倍点公式的Montgomery算法快2C+M.在文章"特征3有限域上椭圆曲线的Montgomery算法"的模拟实验环境下,结果表明该算法比上述算法分别快26.3%、19.0%、20.6%;Sage云平台的实验结果表明该算法比上述算法分别快24.1%、20.1%、23.1%.展开更多
基金Innovation Program of Shanghai Municipal Education Commission,China(No.13YZ139)Climbing Peak Discipline Project of Shanghai Dianji University,China(No.15DFXK01)
文摘It is important to distribute the load efficiently to minimize the cost of the economic dispatch of electrical power system. The uncertainty and volatility of wind energy make the economic dispatch much more complex when the general power systems are combined with wind farms. The short term wind power prediction method was discussed in this paper. The method was based on the empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD). Furthermore,the effect of wind farms on the traditional economic dispatch of electrical power system was analyzed. The mathematical model of the economic dispatch was established considering the environmental factors and extra spinning reserve cost. The multi-objective co-evolutionary algorithm was used to figure out the model. And the results were compared with the NSGA-Ⅱ(non-dominated sorting genetic algorithm-Ⅱ) to verify its feasibility.
文摘Accurate and timely monthly rainfall forecasting is a major challenge for the scientific community in hydrological research such as river management project and design of flood warning systems. Support Vector Regression (SVR) is a very useful precipitation prediction model. In this paper, a novel parallel co-evolution algorithm is presented to determine the appropriate parameters of the SVR in rainfall prediction based on parallel co-evolution by hybrid Genetic Algorithm and Particle Swarm Optimization algorithm, namely SVRGAPSO, for monthly rainfall prediction. The framework of the parallel co-evolutionary algorithm is to iterate two GA and PSO populations simultaneously, which is a mechanism for information exchange between GA and PSO populations to overcome premature local optimum. Our methodology adopts a hybrid PSO and GA for the optimal parameters of SVR by parallel co-evolving. The proposed technique is applied over rainfall forecasting to test its generalization capability as well as to make comparative evaluations with the several competing techniques, such as the other alternative methods, namely SVRPSO (SVR with PSO), SVRGA (SVR with GA), and SVR model. The empirical results indicate that the SVRGAPSO results have a superior generalization capability with the lowest prediction error values in rainfall forecasting. The SVRGAPSO can significantly improve the rainfall forecasting accuracy. Therefore, the SVRGAPSO model is a promising alternative for rainfall forecasting.
文摘椭圆曲线公钥密码是公钥密码体制的主流方向之一.由于密钥短、计算速度快,该体制在智能卡和手机存储卡等受限的环境中得到了广泛的应用.椭圆曲线密码体系中最耗时的运算是标量乘.标量乘需要安全、有效、快速的实现算法.Montgomery算法是计算椭圆曲线标量乘的算法之一,它能够有效地抵抗简单能量分析.在Montgomery算法结构的基础上,文中首次利用统一Z坐标技巧和循环中间阶段不计算Y坐标的技巧,改进了有限域GF(3~m)上椭圆曲线的点加和倍点公式,构造了抵抗简单能量攻击的co-Z Montgomery算法.设I,M,C分别表示有限域上的求逆、乘法、立方.当域上的平方和乘法使用相同的算法时,理论分析表明每轮循环中,co-Z Montgomery算法比仿射Montgomery算法快I+C-5 M,比射影Montgomery算法快C+2 M,比使用"Selected Areas in Cryptography"2012上快速点加、倍点公式的Montgomery算法快2C+M.在文章"特征3有限域上椭圆曲线的Montgomery算法"的模拟实验环境下,结果表明该算法比上述算法分别快26.3%、19.0%、20.6%;Sage云平台的实验结果表明该算法比上述算法分别快24.1%、20.1%、23.1%.
