机译:人工免疫模拟可改善随机变化的用电量预测
Department of Industrial and Systems Engineering, Center of Excellence for Intelligent-Based Experimental Mechanics, College of Engineering, University of Tehran, Iran;
Department of Industrial and Systems Engineering, Center of Excellence for Intelligent-Based Experimental Mechanics, College of Engineering, University of Tehran, Iran;
Department of Industrial and Systems Engineering, Center of Excellence for Intelligent-Based Experimental Mechanics, College of Engineering, University of Tehran, Iran;
Department of Industrial and Systems Engineering, Center of Excellence for Intelligent-Based Experimental Mechanics, College of Engineering, University of Tehran, Iran;
Electricity consumption; Random variables; Artificial Immune System (AIS); Genetic Algorithm (GA); Particle Swarm Optimization (PSO); Computer simulation;
机译:改进的人工菌落算法在中国用电量预测中的作用机理分析
机译:鲸鱼优化算法预测住宅用电量的杂交优化灰季变异指数模型
机译:基于集成经验模态分解的随机森林提高企业日常用电量的预测准确性
机译:用归一化技术提高人工免疫系统在估计问题中的性能:以美国,日本和法国的用电量为例
机译:利用现场数据,大涡模拟和人工神经网络改善风电场的预建和短期能源产量预测
机译:土耳其电力市场中基于人工神经网络和SARIMA的电力负荷预测模型
机译:一种改进的中国电力消耗和分析机制的人工菌落算法模型