检索结果-南通市图书馆

Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions

引用

Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1552-1562页

作者： Dao H.Vu Kashem M.Muttaqi Ashish P.Agalgaonkar Arian Zahedmanesh Abdesselam Bouzerdoum School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongAustralia Information and Computing Technology Division College of Science and EngineeringHamad Bin Khalifa UniversityDohaQatar IEEE

The incorporation of weather variables is crucial in developing an effective demand forecasting model because electricity demand is strongly influenced by weather *** dependence of demand on weather conditions may change with time during a ***,the time stamped weather information is *** this paper,a multi-layer moving window approach is proposed to incorporate the significant weather variables,which are selected using Pearson and spearman correlation *** multi-layer moving window approach allows the layers to adjust their size to accommodate the weather variables based on their significance,which creates more flexibility and adaptability thereby improving the overall performance of the proposed ***,a recursive model is developed to forecast the demand in multi-step *** electricity demand data for the state of New South Wales,Australia are acquired from the Australian Energy Market Operator and the associated results are reported in the *** results show that the proposed approach with dynamic incorporation of weather variables is promising for day-ahead and week-ahead load demand forecasting.

关键词： Autoregressive(AR)model load forecasting multi-layer moving window Pearson correlation spearman correlation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Covid-19’s Pandemic Relationship to Saudi Arabia’s Weather Using Statistical Analysis and GIS

引用

Computer Systems Science & Engineering 2022年第8期42卷 813-823页

作者： Ranya Fadlalla Elsheikh GIS Department Faculty of Social SciencesJeddah UniversityJeddahSaudi Arabia School of Survey Faculty of EngineeringSudan University of Science and TechnologyKhartoumSudan

The eruption of the novel Covid-19 has changed the socio-economic conditions of the *** escalating number of infections and deaths seriously threatened human health when it became a pandemic from an *** developed into an alarming situation when the World Health Organization(WHO)declared a health emergency in MARCH *** geographic settings and weather conditions are systematically linked to the spread of the *** concentration of population and weather attributes remains vital to study a pandemic such as *** current work aims to explore the relationship of the population,weather conditions(humidity and temperature)with the reported novel Covid-19 cases in the Kingdom of Saudi Arabia(KSA).For the study,the data for the reported Covid-19 cases was secured from 11 March 2020,to 21 July 2020(132 days)from the 13 provinces of *** Governorate level data was used to estimate the population data.A Geographic information system(GIS)analysis was utilised to visualise the *** results suggested that a significant correlation existed between the population and Covid-19 *** the weather conditions,the data for the 13 provinces of KSA for the same period was utilised to estimate the relationship between the weather conditions and Covid-19 ***’s rank correlation results confirmed that the humidity was significantly linked with the reported cases of Covid-19 in Makkah,Aseer,Najran,and Al Baha *** temperature had a significant relation with the reported Covid-19 cases in Al-Riyad,Makkah,Al-Madinah,Aseer,Najran,and *** inconsistency of the results highlighted the variant behavior of Covid-19 in different regions of the *** exploration is required beyond the weather-related *** for future research and policy direction are offered at the end of the study.

关键词： Covid-19 GIS temperature spearman correlation humidity Saudi Arabia

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Confidence Interval Estimation of the correlation in the Presence of Non-Detects

引用

Open Journal of Statistics 2021年第3期11卷 463-475页

作者： Courtney E. McCracken Stephen W. Looney Center for Research and Evaluation Kaiser Permanente Georgia Atlanta USA Department of Population Health Sciences Augusta University Augusta USA

This article deals with correlating two variables that have values that fall below the known limit of detection (LOD) of the measuring device;these values are known as non-detects (NDs). We use simulation to compare several methods for estimating the association between two such variables. The most commonly used method, simple substitution, consists of replacing each ND with some representative value such as LOD/2. spearman’s correlation, in which all NDs are assumed to be tied at some value just smaller than the LOD, is also used. We evaluate each method under several scenarios, including small to moderate sample size, moderate to large censoring proportions, extreme imbalance in censoring proportions, and non-bivariate normal (BVN) data. In this article, we focus on the coverage probability of 95% confidence intervals obtained using each method. Confidence intervals using a maximum likelihood approach based on the assumption of BVN data have acceptable performance under most scenarios, even with non-BVN data. Intervals based on spearman’s coefficient also perform well under many conditions. The methods are illustrated using real data taken from the biomarker literature.

关键词： Confidence Interval Coverage Probability Left Censoring Limit of Detection Maximum Likelihood spearman correlation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：