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fixes margin overflow and removes unnecessary equation numbers
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docs/2-literature/22-moop.tex

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@@ -52,11 +52,11 @@ \section{\Acl{moo}}
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&x \in \vec{X}\nonumber
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\intertext{where}
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&F_i \text{ is an arbitrary objective function,}\nonumber\\
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&w_i \text{ is the weight for objective function $F_i$}\\
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&w_i \text{ is the weight for objective function $F_i$}\nonumber\\
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&J \text{ is the aggregated objective,}\nonumber\\
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&g \text{ is a constraint,}\nonumber\\
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&p \text{ is an arbitrary parameter of $g$,}\nonumber\\
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&\vec{X} \text{ is the set of decision variables.}
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&\vec{X} \text{ is the set of decision variables.}\nonumber
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\end{align}
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\noindent
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These weights are varied in order to sample points along the Pareto-front.

docs/4-benchmark-results/40-1-technology-data.tex

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\ac{osier} can automatically export technology data to a \texttt{pandas}
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dataframe or a \LaTeX table with the
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\texttt{technology\_dataframe} method. \ac{osier} generated Table \ref{tab:tech-table}, which summarizes the
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\ac{osier}'s \texttt{technology\_dataframe} method can automatically export technology data to a \texttt{pandas}
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dataframe or a \LaTeX table. \ac{osier} generated Table \ref{tab:tech-table}, which summarizes the
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technology data used in this thesis. The cost data come from \ac{nrel}'s
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\ac{atb} \cite{national_renewable_energy_laboratory_2023_2023}. Carbon intensity
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data come from a life cycle analysis by the \ac{unece}

docs/4-benchmark-results/41-1-example-data.tex

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@@ -6,7 +6,7 @@ \subsection{Energy Demand}
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\begin{align}
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E(t) &= -\sin\left(\frac{2\pi t}{N_{\text{day}}}\right) + \sigma\sin\left(\frac{\pi t}{N_{\text{year}}}\right) + \delta + \chi,
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\intertext{where}
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E &= \text{electricity demand} \quad \left[\text{MWh}\right] \\
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E &= \text{electricity demand} \quad \left[\text{MWh}\right],\nonumber \\
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t &= \text{the indendent variable, time} \quad \left[\text{hours}\right],\nonumber\\
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N_{i} &= \text{the total number of hours in a given period (day/year)},\nonumber\\
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\sigma &= \text{a scaling factor} \quad \left[-\right],\nonumber\\

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