Changeset 2816

Timestamp:

10/30/09 20:19:47 (4 weeks ago)

Author:

jaein

Message:

 

Files:

• HydroWatch/Tim/doc/ipsn10/sec_energy.tex (modified) (3 diffs)

HydroWatch/Tim/doc/ipsn10/sec_energy.tex

@@ -1 +1 @@
 %%%%%%%%%%%%%%%%%%%%%%%
 \section{Energy Prediction}~\label{sec:energypredict}
-As described in Section~\ref{sec:energyrelation}, the optimization process relies on an estimate of harvested energy at various intervals ahead in time in order to make use of opportunities of high amounts of energy in order to maximize utility. In order to form this prediction $\hat{E_h(n,k+i)}$ we make use of a number different information inputs including an astronomic model, solar radiation measurements
-and the measurement and forecast of weather condition. The prediction process is shown in Figure~\ref{fig:energy_prediction_process}.
+As described in Section~\ref{sec:energyrelation}, the optimization process relies on an estimate of harvested energy at various intervals ahead in time in order to make use of opportunities of high amounts of energy in order to maximize utility. In order to form this prediction $\hat{E_h}(n,k+i)}$, we make use of a number of different information inputs including an astronomic model, solar radiation measurements
+and the measurement and forecast of weather conditions. The prediction process is shown in Figure~\ref{fig:energy_prediction_process}.
 
 \begin{figure}[ht]
@@ -21 +21 @@
 \delta = E_h / E_a
 \end{equation} 
-With the atmospheric model model, the effective sunlight that shines on 
+With the atmospheric model, the effective sunlight that shines on 
 the solar panel is proportional to $\cos\Theta$ when the angle of sunlight 
 from the normal to the solar panel is $\Theta$, The angle $\Theta$ depends 
@@ -50 +50 @@
 
 Many weather stations provide the current measurement and a forecast
-of the cloud cover and this can be used to predict the weather effect
-on the solar radiation. The prediction of the weather effect is done
-in two steps. First, we maintain the relation between the cloud cover
+of cloud cover and this can be used to predict the weather effect
+on solar radiation. The prediction of the weather effect is done
+in two steps. First, we maintain the relationship between the cloud cover
 $C$ and the solar radiation variation $\delta$. The cloud cover is
 usually given as a discrete value between 1 and 10, depending on how
-much the sky is covered with the cloud (Figure~\ref{fig:weather}).
+much of the sky is covered with clouds (Figure~\ref{fig:weather}).
 This gives a CDF of the solar radiation variation for each value of 
 the discrete value $i$. Figure~\ref{fig:prediction1} shows the 
-distribution of the solar energy for each weather forecast category,
+distribution of solar energy for each weather forecast category,
 and Figure~\ref{fig:cdf2_example} shows CDFs for weather category 
 2 and 9: $\{(C_2,\delta)\}$ and $\{(C_9,\delta)\}$.