Я использую шаблон книги Tufte и не могу понять, как изменить номера страниц так, чтобы они располагались внизу по центру (а не вверху по внешнему краю).
(общий шаблон, который я используюhttps://www.overleaf.com/10222634shztyfpxyhvn#/37826845/)
Я не могу найти, где вообще закодировано, что это верхний внешний край :|
решение1
Если вы не знаете, что делаете, лучше не пытаться изменять шаблоны, поскольку команды там слишком сложны для непрограммистов. Вы по-прежнему можете настраивать верхние и нижние колонтитулы и нумерацию страниц с помощью fancyhdrpackage. Используйте \fancyhead{}в преамбуле, чтобы очистить верхние колонтитулы, а затем переопределить их по своему усмотрению. Затем используйте , \fancyfoot[LE, RO]{ \thepage }чтобы переместить нумерацию страниц вниз. Здесь LE, ROимеются в виду Left-Even и Right-Odd, что означает, что для четных страниц нумерация будет слева, а для нечетных — справа. Это почти универсальная практика нумерации страниц.
Полный код примера показан ниже:
\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}