Prediction of Energy Consumption in Jiangsu Based on Combination Model

机译：基于组合模型的江苏能源消耗预测

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper first analyzes the construction and trend of the energy consumption in Jiangsu. And then a non-linear forecasting model and an ARMIMA model are established based on energy consumption data from 1985 to 2007. The two methods are connected to build a combination forecasting model. Finally the prediction results of the new model of future energy consumption are analyzed. The combination model shows a high credibility in prediction.

机译：本文首先分析了江苏能源消耗的建设和趋势。然后基于从1985年至2007年的能量消耗数据建立非线性预测模型和ARMIMA模型。这两种方法连接以构建组合预测模型。最后分析了未来能耗的新模型的预测结果。组合模型显示了预测的高可信度。

著录项

来源
《International Conference on Information and Computing》|2010年||共4页
会议地点
作者
Jibo Chen; Xiaorong Huang; Jie Li; Guizhi Wang;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类 G20-53;
关键词
Energy consumption; Non-linear forecasting; ARIMA model; Combination forecasting;

机译：能量消耗;非线性预测;ARIMA模型;组合预测;

相似文献

外文文献
中文文献
专利

1. Energy Consumption, Survey Data and the Prediction of Industrial Production in Italy: A comparison and Combination of Different Models [J] . Domenico J. Marchetti, Giuseppe Parigi Journal of Forecasting . 2000,第5期

机译：意大利的能源消耗，调查数据和工业生产预测：不同模型的比较和组合
2. A novel energy consumption prediction model with combination of road information and driving style of BEV_s [J] . Guo Jianhua, Jiang Yu, Yu Yuanbin, Sustainable Energy Technologies and Assessments . 2020,第Deca期

机译：一种新的能源消耗预测模型，具有道路信息的组合和逼绍风格
3. Energy-efficient routing based on vehicular consumption predictions of a mesoscopic learning model [J] . Masikos Michail, Demestichas Konstantinos, Adamopoulou Evgenia, Applied Soft Computing . 2015,第Null期

机译：基于介观学习模型的车辆消耗预测的节能路由
4. Prediction of Energy Consumption in Jiangsu Based on Combination Model [C] . Chen Jibo, Huang Xiaorong, Li Jie, Third International Conference on Information and Computing . 2010

机译：基于组合模型的江苏省能源消费量预测
5. Occupant Behavior Prediction Model Based on Energy Consumption Using Machine Learning Approaches [D] . Mo, Yunjeong. 2018

机译：基于能耗的机器学习乘员行为预测模型
6. Antibody structure determination using a combination of homology modeling energy-based refinement and loop prediction [O] . Kai Zhu, Tyler Day, Dora Warshaviak, -1

机译：结合同源性建模基于能量的优化和循环预测来确定抗体结构
7. The thermodynamic changes that occur upon mixing five models of formamide and three models of water, including the miscibility of these model combinations itself, is studied by performing Monte Carlo computer simulations using an appropriately chosen thermodynamic cycle and the method of thermodynamic integration. The results show that the mixing of these two components is close to the ideal mixing, as both the energy and entropy of mixing turn out to be rather close to the ideal term in the entire composition range. Concerning the energy of mixing, the OPLS/AA-mod model of formamide behaves in a qualitatively different way than the other models considered. Thus, this model results in negative, while the other ones in positive energy of mixing values in combination with all three water models considered. Experimental data supports this latter behavior. Although the Helmholtz free energy of mixing always turns out to be negative in the entire composition range, the majority of the model combinations tested either show limited miscibility, or, at least, approach the miscibility limit very closely in certain compositions. Concerning both the miscibility and the energy of mixing of these model combinations, we recommend the use of the combination of the CHARMM formamide and TIP4P water models in simulations of water-formamide mixtures. [O] . Kiss, Bálint, Fábián, Balázs, Idrissi, Abdenacer, 2017

机译：通过使用适当选择的热力学循环和热力学积分方法进行蒙特卡罗计算机模拟，研究了将五种甲酰胺模型和三种水模型混合在一起时发生的热力学变化，包括这些模型组合本身的可混溶性。结果表明这两种组分的混合接近于理想的混合，因为混合的能量和熵在整个组成范围内都非常接近理想的项。关于混合的能量，甲酰胺的OPLS / AA-mod模型与其他模型相比，在质量上有不同的表现。因此，该模型得出的结果是负的，而其他模型则综合考虑了所有三个水模型的结果的正能量。实验数据支持后一种行为。尽管混合的亥姆霍兹自由能在整个组成范围内始终为负，但大多数测试模型组合显示出有限的混溶性，或至少非常接近某些组合物的混溶性极限。关于这些模型组合的可混溶性和混合能量，我们建议在水-甲酰胺混合物的模拟中使用CHARMM甲酰胺和TIP4P水模型的组合。

Prediction of Energy Consumption in Jiangsu Based on Combination Model

摘要

著录项

相似文献

相关主题

期刊订阅