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机译:人工智能与传统方法对电力需求预测的比较分析
Department of Industrial and Production Engineering,Bangladesh University of Engineering and Technology (BUET),Dhaka - 1000, Bangladesh;
Department of Industrial and Production Engineering,Bangladesh University of Engineering and Technology (BUET),Dhaka - 1000, Bangladesh;
Department of Industrial and Production Engineering,Bangladesh University of Engineering and Technology (BUET),Dhaka - 1000, Bangladesh;
Department of Industrial and Production Engineering,Bangladesh University of Engineering and Technology (BUET),Dhaka - 1000, Bangladesh;
forecasting; demand of power generation; artificial intelligence; adaptive neuro-fuzzy inference system; ANFIS; seasonal forecasting; artificial neural network; ANN; Bangladesh;
机译:基于数据预处理,优化和人工智能算法的电力系统混合预测方法
机译:根据人工智能分析和需求技能预测确保可持续增长
机译:能源需求预测:协整分析与人工智能算法相结合
机译:基于人工智能的需求预测的准确性及其对需求构成预测的扩展
机译:通过人工神经网络为时空救护车需求开发准确的预测模型:现有预测技术与人工神经网络的比较研究。
机译:在智能家居需求侧管理中将先进人工智能作为边缘分析的云分析辅助智能功率计的设计与实现
机译:根据人工智能分析和需求技能预测确保可持续增长
机译:计算机生成力人工智能的比较分析。