diff --git a/paper/sec/analysis.tex b/paper/sec/analysis.tex
index 234fbf3d05a46439d1b1b6b99248b28dc9caf1b4..1b87c88b713eea8788838263651b99a29def76ec 100755
--- a/paper/sec/analysis.tex
+++ b/paper/sec/analysis.tex
@@ -39,9 +39,9 @@ sequence $\omega_*$ based on the chosen cost function.
 The probabilities of sequences of hits and misses are
 then computed based on this sequence, and used in the design of
 the controller to be robust with respect to the sequence. We use the
-scenario theory to quantify the probability $\varepsilon$ of not having 
+scenario theory to quantify\textcolor{red}{, according to the number of extracted samples,} the probability $\varepsilon$ of not having 
 extracted the \emph{true} worst-case sequence and the  confidence in the 
-process $1-\beta$ \textcolor{red}{according to the number of extracted samples}.
+process $1-\beta$. \textcolor{red}{Scenario theory has for example found use in the management of energy storage\cite{darivianakis2017scenarioapplication}.}
 
 \subsection{Scenario Theory}
 \label{sec:analysis:scenario}