机译:一种短期天然气消耗预测的新型灰色伯努利模型
School of Science Southwest University of Science and Technology Mianyang 621010 China Visual Computing and Virtual Reality Key Laboratory of Sichuan Province Sichuan Normal University Chengdu 610068 China;
School of Science Southwest University of Science and Technology Mianyang 621010 China State Key Laboratory of Oil and Cos Reservoir Geology and Exploitation Southwest Petroleum University Chengdu 610500 China;
College of Business Planning Chongqing Technology and Business University Chongqing 400067 China;
Visual Computing and Virtual Reality Key Laboratory of Sichuan Province Sichuan Normal University Chengdu 610068 China School of Mathematics Science Sichuan Normal University Chengdu 610068 China;
School of Science Southwest Petroleum University Chengdu 610500 China State Key Laboratory of Oil and Cos Reservoir Geology and Exploitation Southwest Petroleum University Chengdu 610500 China;
School of Computing Mathematics and Digital Technology Manchester Metropolitan University Manchester Ml 5GD England United Kingdom;
Forecasting; Grey bernoulli model; Particle Swarm Optimization; Natural gas consumption;
机译:使用新型分数非线性灰色伯努利模型预测中国的短期可再生能源消费
机译:灰狼优化器的分数时滞灰色模型及其在重庆天然气和煤炭消费量预测中的应用
机译:具有灰狼优化器的新型分数延迟灰色模型及其在重庆中国天然气和煤炭消费中的应用
机译:基于灰色模型的中国天然气消费预测和页岩气发展
机译:开发用于预测短期天然气使用量的自适应在线模糊仲裁器。
机译:在2030年使用优化的分数非线性灰色伯努利模型法国德国意大利西班牙土耳其和英国未来的可再生能源消耗量
机译:使用具有多种分数级的新型时滞的分数灰色模型预测中国的制造业工业天然气消费量