Update docs

0.4/tutorials/market/index.html

@@ -171,4 +171,4 @@ UnitCommitment.solve_market(
     optimizer = HiGHS.Optimizer,
 )</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">OrderedCollections.OrderedDict{Any, Any} with 2 entries:
   &quot;DA&quot; =&gt; OrderedDict{Any, Any}(&quot;Thermal production (MW)&quot;=&gt;OrderedDict(&quot;g1&quot;=&gt;[2…
-  &quot;RT&quot; =&gt; Any[OrderedDict{Any, Any}(&quot;Thermal production (MW)&quot;=&gt;OrderedDict(&quot;g1&quot;…</code></pre><h2 id="Additional-considerations"><a class="docs-heading-anchor" href="#Additional-considerations">Additional considerations</a><a id="Additional-considerations-1"></a><a class="docs-heading-anchor-permalink" href="#Additional-considerations" title="Permalink"></a></h2><ul><li>UC.jl supports two-stage stochastic DA market problems. In this case, we need one file for each DA market scenario. All RT market problems must be deterministic.</li><li>UC.jl also supports multi-period RT market problems. Assume, for example, that the DA market problem is an hourly problem with 24 time periods, whereas the RT market problem uses 5-minute granularity with 4 time periods. UC.jl assumes that the first RT file covers period <code>0:00</code> to <code>0:20</code>, the second covers <code>0:05</code> to <code>0:25</code> and so on. We therefore still need 288 RT market files. To avoid going beyond the 24-hour period covered by the DA market solution, however, the last few RT market problems must have only 3, 2, and 1 time periods, covering <code>23:45</code> to <code>24:00</code>, <code>23:50</code> to <code>24:00</code> and <code>23:55</code> to <code>24:00</code>, respectively.</li><li>Some MILP solvers (such as Cbc) have issues handling linear programming problems, which are required for the RT market. In this case, a separate linear programming solver can be provided to <code>solve_market</code> using the <code>lp_optimizer</code> argument. For example, <code>solve_market(da_file, rt_files, optimizer=Cbc.Optimizer, lp_optimizer=Clp.Optimizer)</code>.</li></ul></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../lmp/">« Locational Marginal Prices</a><a class="docs-footer-nextpage" href="../decomposition/">Decomposition methods »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.2.1 on <span class="colophon-date" title="Tuesday 21 May 2024 10:39">Tuesday 21 May 2024</span>. Using Julia version 1.10.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+  &quot;RT&quot; =&gt; Any[OrderedDict{Any, Any}(&quot;Thermal production (MW)&quot;=&gt;OrderedDict(&quot;g1&quot;…</code></pre><h2 id="Additional-considerations"><a class="docs-heading-anchor" href="#Additional-considerations">Additional considerations</a><a id="Additional-considerations-1"></a><a class="docs-heading-anchor-permalink" href="#Additional-considerations" title="Permalink"></a></h2><ul><li>UC.jl supports two-stage stochastic DA market problems. In this case, we need one file for each DA market scenario. All RT market problems must be deterministic.</li><li>UC.jl also supports multi-period RT market problems. Assume, for example, that the DA market problem is an hourly problem with 24 time periods, whereas the RT market problem uses 5-minute granularity with 4 time periods. UC.jl assumes that the first RT file covers period <code>0:00</code> to <code>0:20</code>, the second covers <code>0:05</code> to <code>0:25</code> and so on. We therefore still need 288 RT market files. To avoid going beyond the 24-hour period covered by the DA market solution, however, the last few RT market problems must have only 3, 2, and 1 time periods, covering <code>23:45</code> to <code>24:00</code>, <code>23:50</code> to <code>24:00</code> and <code>23:55</code> to <code>24:00</code>, respectively.</li><li>Some MILP solvers (such as Cbc) have issues handling linear programming problems, which are required for the RT market. In this case, a separate linear programming solver can be provided to <code>solve_market</code> using the <code>lp_optimizer</code> argument. For example, <code>solve_market(da_file, rt_files, optimizer=Cbc.Optimizer, lp_optimizer=Clp.Optimizer)</code>.</li></ul></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../lmp/">« Locational Marginal Prices</a><a class="docs-footer-nextpage" href="../decomposition/">Decomposition methods »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.2.1 on <span class="colophon-date" title="Tuesday 21 May 2024 10:56">Tuesday 21 May 2024</span>. Using Julia version 1.10.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>