https://mw.hh.se/caisr/index.php?action=history&feed=atom&title=Short-Term_Energy_Demand_Forecasting 2026-04-04T10:30:37Z Revision history for this page on the wiki MediaWiki 1.35.13 https://mw.hh.se/caisr/index.php?title=Short-Term_Energy_Demand_Forecasting&diff=3268&oldid=prev 2016-10-24T18:12:51Z

<p></p> <table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:12, 24 October 2016</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l9" >Line 9:</td> <td colspan="2" class="diff-lineno">Line 9:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Level=Master</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Level=Master</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Status=Open</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Status=Open</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>}}</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>}}  </div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The project is about evaluating different forecasting methods for short term electricity usage and implementing them. There are some available methods e.g. time series, frequency analysis, NN, etc. which student should investigate them and discuss about the most suitable forecasting model.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The project is about evaluating different forecasting methods for short term electricity usage and implementing them. There are some available methods e.g. time series, frequency analysis, NN, etc. which student should investigate them and discuss about the most suitable forecasting model.</div></td></tr> </table>

Hasmas https://mw.hh.se/caisr/index.php?title=Short-Term_Energy_Demand_Forecasting&diff=1834&oldid=prev 2014-10-31T12:02:49Z

<p>Created page with &quot;{{StudentProjectTemplate |Summary=Forecasting the electricity consumption based on historical usage by using smart meter data |Keywords=load forecasting, demand response |Refe...&quot;</p> <p><b>New page</b></p><div>{{StudentProjectTemplate<br /> |Summary=Forecasting the electricity consumption based on historical usage by using smart meter data<br /> |Keywords=load forecasting, demand response<br /> |References=Hong, Wei-Chiang. Intelligent Energy Demand Forecasting. Vol. 10. Springer, 2013.<br /> Ghofrani, M., et al. &quot;Smart meter based short-term load forecasting for residential customers.&quot; North American Power Symposium (NAPS), 2011. IEEE, 2011.<br /> http://www.sciencedirect.com/science/article/pii/S1877050914011053<br /> |Prerequisites=Cooperating Intelligent Systems and Learning Systems courses<br /> |Supervisor=Anita Sant&#039;Anna, Sławomir Nowaczyk, Hassan Mashad Nemati, <br /> |Level=Master<br /> |Status=Open<br /> }}<br /> The project is about evaluating different forecasting methods for short term electricity usage and implementing them. There are some available methods e.g. time series, frequency analysis, NN, etc. which student should investigate them and discuss about the most suitable forecasting model.</div>

Hasmas