将 Tufte-Book 页码更改为底部

将 Tufte-Book 页码更改为底部

我正在使用 Tufte 书籍模板 - 并且不知道如何更改页码以使其位于底部中心(而不是顶部外边缘)。

(我使用的通用模板https://www.overleaf.com/10222634shztyfpxyhvn#/37826845/

我找不到它甚至被编码为顶部外边缘的地方:|

答案1

在此处输入图片描述

除非您知道自己在做什么,否则最好不要尝试修改模板,因为那里的命令对于非程序员来说太复杂了。您仍然可以使用fancyhdr包自定义页眉、页脚和页码。\fancyhead{}在序言中使用清除页眉,然后根据需要重新定义它们。然后使用\fancyfoot[LE, RO]{ \thepage }将页码移到底部。这里的LE, RO意思是左偶数和右奇数,这意味着对于偶数页,编号将在左侧,对于奇数页,编号将在右侧。这几乎是一种通用的页码编号做法。

示例的完整代码如下所示:

\documentclass[twoside]{tufte-book}

    \usepackage{fancyhdr}

        \pagestyle{fancy} % allows for more advanced header and footer formats

                % Customizations
                \renewcommand{\chaptermark}[1]{ \markboth{#1}{} }  % customize chapter name here
                \renewcommand{\chaptername}{Chapter}
                \renewcommand{\sectionmark}[1]{ \markright{#1} } % customize section name here

                % Define headers
                \fancypagestyle{mainmatter}{
                                                % Header and footer lines
                                                \renewcommand{\headrulewidth}{0.5 pt}
                                                \renewcommand{\footrulewidth}{0 pt}

                                                % Headers
                                                \fancyhead{} % clear header field
                                                \fancyhead[RO]{ \textbf{ \chaptername\ \thechapter:\ \leftmark } } % customize chapter name header here
                                                \fancyhead[LE]{ \hspace{4mm} \thesection \textbf{ \rightmark }  } % customize section name header here

                                                % Foot
                                                \fancyfoot{} % clear foot fields
                                                \fancyfoot[LE, RO]{ \thepage } % here is where the page position is defined
                                        }


\begin{document}

\title{Development of a Generalized PV Model in MATLAB/Simulink Using Datasheet Values}



\author{Al-Motasem I. Aldaoudeyeh
    \thanks{Al-Motasem I. Aldaoudeyeh is with the Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND, 58102 USA e-mail: [email protected]}
}


\maketitle



\setcounter{chapter}{1}
\pagestyle{mainmatter}
\chapter{Chapter Name}


\section{Introduction}
\label{section:introduction}

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.


\section{Numerical Results and Discussion}
\label{sec:results}

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit.


\section{Conclusions}
\label{sec:conclusions}


    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.


\end{document}

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