update hw4

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diff --git a/2024/hw4.qmd b/2024/hw4.qmd
@@ -1,5 +1,5 @@
 ---
-title: Assignment 4 Load Forcast, energy and climate justice
+title: Assignment 4 Load forecast and EV penetration
 #description-meta: "{{<br meta website.description >}}"
 #draft: true
 format: 
@@ -24,14 +24,11 @@ format:
     colorlinks: true
 ---
 
-
-## 1. Load forecast and EV penetration
-
-Load forecast is very important for power system planning and operation. First visit NYISO website's [Custom Reports](https://www.nyiso.com/custom-reports) to explore all sorts of data out there. We will be focusing on day-ahead market (DAM) forcast (1-hour interval), and actual load (5-min interval), and comparing them and analyze how to make forecast better. Download one whole year (2023) of [Real_Time_Dispatch_Actual_Load](/data/2023_OASIS_Real_Time_Dispatch_Actual_Load.csv) and [Day Head Market Load Forcast](/data/2023_OASIS_Day_Ahead_Market_ISO_Load_Forecast.csv) for New York City. (2.5pts) 
+Load forecast is very important for power system planning and operation. First visit NYISO website's [Custom Reports](https://www.nyiso.com/custom-reports) to explore all sorts of data out there. We will be focusing on day-ahead market (DAM) forcast (1-hour interval), and actual load (5-min interval), and comparing them and analyze how to make forecast better. Download one whole year (2023) of [Real_Time_Dispatch_Actual_Load](/data/2023_OASIS_Real_Time_Dispatch_Actual_Load.csv) and [Day Head Market Load Forcast](/data/2023_OASIS_Day_Ahead_Market_ISO_Load_Forecast.csv) for New York City. (5pts) 
 
 - Plot the load curve and load duration curve of New York City.  
-  -	**Load Curve**: Plot the NYC hourly actual load for 2022, highlighting daily, weekly, and seasonal variations.
-	-	**Load Duration Curve**: Sort the load data in descending order and plot it to show the distribution of demand over time. This reveals the percentage of time different demand levels occur.
+  -	**Load Curve**: Plot the NYC hourly actual load for 2022, highlighting daily, weekly, and seasonal variations.   
+  -	**Load Duration Curve**: Sort the load data in descending order and plot it to show the distribution of demand over time. This reveals the percentage of time different demand levels occur.  
 - Show the characteristics of hourly load curve of an average day in New York City  
   - All days average  
   - Weekday vs. weekend  
@@ -42,16 +39,6 @@ Load forecast is very important for power system planning and operation. First v
 - Should ConEdison/NYPA worry about it, what policy/incentives should you use to change people's charging behavior so to save costs for the utility companies? 
 
 
-## 2. Energy and climate justice
-
-Check the launch of [NYC Climate Justice Hub](https://centerforthehumanities.org/programming/nyc-climate-justice-hub-launch), a partnership between the New York City Environmental Justice Alliance (NYC-EJA) and The City University of New York (CUNY) to advance climate solutions led by communities of color on the front lines. 
-
-Check also the New York State climate justice [programs and resources](https://www.nyserda.ny.gov/All-Programs/Energy-and-Climate-Equity-Strategy/Climate-Justice) 
-
-What is energy justice? How is it different from climate justice? Use examples to discuss how energy supply/demand or climate impact may affect equity and justice of specific groups or populations. Write a short essay (~300 words) to explain your thoughts. (Total 2.5pts)
-
-</br>
-
 **Further reading**: 
 
 Arvind Jaggi, Senior Economist, Demand Forecasting & Analysis, [Electric Vehicle Forecast Impacts (Gold Book 2021)](https://www.nyiso.com/documents/20142/19415353/04%202021%20GoldBook%20EVForecast.pdf/bc823f27-cbbd-669f-8d76-e695d59b9bed)

diff --git a/docs/2024/hw4.html b/docs/2024/hw4.html
@@ -9,7 +9,7 @@
 <meta name="author" content="Gang He">
 <meta name="description" content="Energy and Climate Policy class developed by Dr.&nbsp;Gang He. Key words: energy policy, climate policy, energy and climate policy, open course.">
 
-<title>Assignment 4 Load Forcast, energy and climate justice – Energy and Climate Policy</title>
+<title>Assignment 4 Load forecast and EV penetration – Energy and Climate Policy</title>
 <style>
 code{white-space: pre-wrap;}
 span.smallcaps{font-variant: small-caps;}
@@ -79,10 +79,10 @@
 
 
 <link rel="stylesheet" href="../styles.css">
-<meta property="og:title" content="Assignment 4 Load Forcast, energy and climate justice – Energy and Climate Policy">
+<meta property="og:title" content="Assignment 4 Load forecast and EV penetration – Energy and Climate Policy">
 <meta property="og:description" content="PAF9199 Energy and Climate Policy class developed by Dr.&nbsp;Gang He.">
 <meta property="og:site_name" content="Energy and Climate Policy">
-<meta name="twitter:title" content="Assignment 4 Load Forcast, energy and climate justice – Energy and Climate Policy">
+<meta name="twitter:title" content="Assignment 4 Load forecast and EV penetration – Energy and Climate Policy">
 <meta name="twitter:description" content="PAF9199 Energy and Climate Policy class developed by Dr.&nbsp;Gang He.">
 <meta name="twitter:card" content="summary">
 </head>
@@ -171,21 +171,14 @@
 <!-- sidebar -->
 <!-- margin-sidebar -->
     <div id="quarto-margin-sidebar" class="sidebar margin-sidebar">
-        <nav id="TOC" role="doc-toc" class="toc-active">
-    <h2 id="toc-title">On this page</h2>
-
-  <ul>
-  <li><a href="#load-forecast-and-ev-penetration" id="toc-load-forecast-and-ev-penetration" class="nav-link active" data-scroll-target="#load-forecast-and-ev-penetration">1. Load forecast and EV penetration</a></li>
-  <li><a href="#energy-and-climate-justice" id="toc-energy-and-climate-justice" class="nav-link" data-scroll-target="#energy-and-climate-justice">2. Energy and climate justice</a></li>
-  </ul>
-<div class="toc-actions"><ul><li><a href="https://github.com/drganghe/energy-climate-policy/edit/main/2024/hw4.qmd" class="toc-action"><i class="bi bi-github"></i>Edit this page</a></li><li><a href="https://github.com/drganghe/energy-climate-policy/issues/new" class="toc-action"><i class="bi empty"></i>Report an issue</a></li><li><a href="https://github.com/drganghe/energy-climate-policy/blob/main/2024/hw4.qmd" class="toc-action"><i class="bi empty"></i>View source</a></li></ul></div><div class="quarto-alternate-formats"><h2>Other Formats</h2><ul><li><a href="hw4.pdf"><i class="bi bi-file-pdf"></i>PDF</a></li></ul></div></nav>
-    </div>
+
+    <div class="quarto-alternate-formats"><h2>Other Formats</h2><ul><li><a href="hw4.pdf"><i class="bi bi-file-pdf"></i>PDF</a></li></ul></div></div>
 <!-- main -->
 <main class="content" id="quarto-document-content">
 
 <header id="title-block-header" class="quarto-title-block default">
 <div class="quarto-title">
-<h1 class="title">Assignment 4 Load Forcast, energy and climate justice</h1>
+<h1 class="title">Assignment 4 Load forecast and EV penetration</h1>
 </div>
 
 
@@ -202,16 +195,14 @@ <h1 class="title">Assignment 4 Load Forcast, energy and climate justice</h1>
 </header>
 
 
-<section id="load-forecast-and-ev-penetration" class="level2">
-<h2 class="anchored" data-anchor-id="load-forecast-and-ev-penetration">1. Load forecast and EV penetration</h2>
-<p>Load forecast is very important for power system planning and operation. First visit NYISO website’s <a href="https://www.nyiso.com/custom-reports">Custom Reports</a> to explore all sorts of data out there. We will be focusing on day-ahead market (DAM) forcast (1-hour interval), and actual load (5-min interval), and comparing them and analyze how to make forecast better. Download one whole year (2023) of <a href="../data/2023_OASIS_Real_Time_Dispatch_Actual_Load.csv">Real_Time_Dispatch_Actual_Load</a> and <a href="../data/2023_OASIS_Day_Ahead_Market_ISO_Load_Forecast.csv">Day Head Market Load Forcast</a> for New York City. (2.5pts)</p>
+<p>Load forecast is very important for power system planning and operation. First visit NYISO website’s <a href="https://www.nyiso.com/custom-reports">Custom Reports</a> to explore all sorts of data out there. We will be focusing on day-ahead market (DAM) forcast (1-hour interval), and actual load (5-min interval), and comparing them and analyze how to make forecast better. Download one whole year (2023) of <a href="../data/2023_OASIS_Real_Time_Dispatch_Actual_Load.csv">Real_Time_Dispatch_Actual_Load</a> and <a href="../data/2023_OASIS_Day_Ahead_Market_ISO_Load_Forecast.csv">Day Head Market Load Forcast</a> for New York City. (5pts)</p>
 <ul>
 <li>Plot the load curve and load duration curve of New York City.
 <ul>
-<li><strong>Load Curve</strong>: Plot the NYC hourly actual load for 2022, highlighting daily, weekly, and seasonal variations.
-<ul>
-<li><strong>Load Duration Curve</strong>: Sort the load data in descending order and plot it to show the distribution of demand over time. This reveals the percentage of time different demand levels occur.</li>
-</ul></li>
+<li><strong>Load Curve</strong>: Plot the NYC hourly actual load for 2022, highlighting daily, weekly, and seasonal variations.<br>
+</li>
+<li><strong>Load Duration Curve</strong>: Sort the load data in descending order and plot it to show the distribution of demand over time. This reveals the percentage of time different demand levels occur.<br>
+</li>
 </ul></li>
 <li>Show the characteristics of hourly load curve of an average day in New York City
 <ul>
@@ -229,19 +220,11 @@ <h2 class="anchored" data-anchor-id="load-forecast-and-ev-penetration">1. Load f
 <li>Now make reasonable assumptions of EV penetration rate and EV charging in New York City, and try to show how that would change the load curve.</li>
 <li>Should ConEdison/NYPA worry about it, what policy/incentives should you use to change people’s charging behavior so to save costs for the utility companies?</li>
 </ul>
-</section>
-<section id="energy-and-climate-justice" class="level2">
-<h2 class="anchored" data-anchor-id="energy-and-climate-justice">2. Energy and climate justice</h2>
-<p>Check the launch of <a href="https://centerforthehumanities.org/programming/nyc-climate-justice-hub-launch">NYC Climate Justice Hub</a>, a partnership between the New York City Environmental Justice Alliance (NYC-EJA) and The City University of New York (CUNY) to advance climate solutions led by communities of color on the front lines.</p>
-<p>Check also the New York State climate justice <a href="https://www.nyserda.ny.gov/All-Programs/Energy-and-Climate-Equity-Strategy/Climate-Justice">programs and resources</a></p>
-<p>What is energy justice? How is it different from climate justice? Use examples to discuss how energy supply/demand or climate impact may affect equity and justice of specific groups or populations. Write a short essay (~300 words) to explain your thoughts. (Total 2.5pts)</p>
-<p><br></p>
 <p><strong>Further reading</strong>:</p>
 <p>Arvind Jaggi, Senior Economist, Demand Forecasting &amp; Analysis, <a href="https://www.nyiso.com/documents/20142/19415353/04%202021%20GoldBook%20EVForecast.pdf/bc823f27-cbbd-669f-8d76-e695d59b9bed">Electric Vehicle Forecast Impacts (Gold Book 2021)</a></p>
 <p>Play around the <a href="https://en-roads.climateinteractive.org/scenario.html?v=22.10.0&amp;p1=110&amp;p7=100&amp;p10=5&amp;p16=-0.03&amp;p23=-30&amp;p30=-0.07&amp;p35=2&amp;p39=250&amp;p47=5&amp;p50=5&amp;p53=100&amp;p55=100&amp;p57=-10&amp;p59=-100&amp;p63=8.9&amp;p65=100&amp;p67=100">En-ROADS</a> model, and change some of the parameters and check how assumptions affect modeling results.</p>
 
 
-</section>
 
 </main> <!-- /main -->
 <script id="quarto-html-after-body" type="application/javascript">
@@ -678,7 +661,7 @@ <h2 class="anchored" data-anchor-id="energy-and-climate-justice">2. Energy and c
 </div>   
     <div class="nav-footer-center">
       &nbsp;
-    <div class="toc-actions d-sm-block d-md-none"><ul><li><a href="https://github.com/drganghe/energy-climate-policy/edit/main/2024/hw4.qmd" class="toc-action"><i class="bi bi-github"></i>Edit this page</a></li><li><a href="https://github.com/drganghe/energy-climate-policy/issues/new" class="toc-action"><i class="bi empty"></i>Report an issue</a></li><li><a href="https://github.com/drganghe/energy-climate-policy/blob/main/2024/hw4.qmd" class="toc-action"><i class="bi empty"></i>View source</a></li></ul></div></div>
+    <div class="toc-actions"><ul><li><a href="https://github.com/drganghe/energy-climate-policy/edit/main/2024/hw4.qmd" class="toc-action"><i class="bi bi-github"></i>Edit this page</a></li><li><a href="https://github.com/drganghe/energy-climate-policy/issues/new" class="toc-action"><i class="bi empty"></i>Report an issue</a></li><li><a href="https://github.com/drganghe/energy-climate-policy/blob/main/2024/hw4.qmd" class="toc-action"><i class="bi empty"></i>View source</a></li></ul></div></div>
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diff --git a/docs/2024/hw4.pdf b/docs/2024/hw4.pdf
diff --git a/docs/search.json b/docs/search.json
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-    "title": "Assignment 4 Load Forcast, energy and climate justice",
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-    "text": "Load forecast is very important for power system planning and operation. First visit NYISO website’s Custom Reports to explore all sorts of data out there. We will be focusing on day-ahead market (DAM) forcast (1-hour interval), and actual load (5-min interval), and comparing them and analyze how to make forecast better. Download one whole year (2023) of Real_Time_Dispatch_Actual_Load and Day Head Market Load Forcast for New York City. (2.5pts)\n\nPlot the load curve and load duration curve of New York City.\n\nLoad Curve: Plot the NYC hourly actual load for 2022, highlighting daily, weekly, and seasonal variations.\n\nLoad Duration Curve: Sort the load data in descending order and plot it to show the distribution of demand over time. This reveals the percentage of time different demand levels occur.\n\n\nShow the characteristics of hourly load curve of an average day in New York City\n\nAll days average\n\nWeekday vs. weekend\n\nMonthly avearge\n\nSeasonal average (Winter, Spring, Summer, and Fall)\n\n\nFind the hour(s)/day(s) with the largest forecast error [actual - forcast], and try to explain why (e.g., weather evetns, holidays, disruptions)?\n\nNow make reasonable assumptions of EV penetration rate and EV charging in New York City, and try to show how that would change the load curve.\nShould ConEdison/NYPA worry about it, what policy/incentives should you use to change people’s charging behavior so to save costs for the utility companies?"
+    "text": "Load forecast is very important for power system planning and operation. First visit NYISO website’s Custom Reports to explore all sorts of data out there. We will be focusing on day-ahead market (DAM) forcast (1-hour interval), and actual load (5-min interval), and comparing them and analyze how to make forecast better. Download one whole year (2023) of Real_Time_Dispatch_Actual_Load and Day Head Market Load Forcast for New York City. (5pts)\n\nPlot the load curve and load duration curve of New York City.\n\nLoad Curve: Plot the NYC hourly actual load for 2022, highlighting daily, weekly, and seasonal variations.\n\nLoad Duration Curve: Sort the load data in descending order and plot it to show the distribution of demand over time. This reveals the percentage of time different demand levels occur.\n\n\nShow the characteristics of hourly load curve of an average day in New York City\n\nAll days average\n\nWeekday vs. weekend\n\nMonthly avearge\n\nSeasonal average (Winter, Spring, Summer, and Fall)\n\n\nFind the hour(s)/day(s) with the largest forecast error [actual - forcast], and try to explain why (e.g., weather evetns, holidays, disruptions)?\n\nNow make reasonable assumptions of EV penetration rate and EV charging in New York City, and try to show how that would change the load curve.\nShould ConEdison/NYPA worry about it, what policy/incentives should you use to change people’s charging behavior so to save costs for the utility companies?\n\nFurther reading:\nArvind Jaggi, Senior Economist, Demand Forecasting & Analysis, Electric Vehicle Forecast Impacts (Gold Book 2021)\nPlay around the En-ROADS model, and change some of the parameters and check how assumptions affect modeling results."
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