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UID:MEC-322f62469c5e3c7dc3e58f5a4d1ea399@energymgmt.org
DTSTART:20241210T190000Z
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DTSTAMP:20241108T210800Z
CREATED:20241108
LAST-MODIFIED:20241217
SUMMARY:Finding Black Sheep in your Building Portfolio Using Explainable AI
DESCRIPTION:Watch NowTake QuizDownload SlidesAbstract:\nAI is transforming energy management, offering Energy Managers, TAB professionals, Cx agents, and Facility Managers powerful tools for efficiency and cost reduction. This presentation highlights practical, data-driven applications that reveal energy-saving opportunities, optimize cooling, and reduce operational waste across individual buildings and large portfolios.\nAttendees will explore real-world examples, including a fast-food chain case study demonstrating how these solutions yield measurable savings and operational improvements.\nLearning Objectives:\n\nUnderstanding Key Challenges in Developing Meaningful Machine Learning Models for Energy Management\nLeveraging Explainable AI to Generate Actionable Insights for Energy Savings\nExploring Anomaly Detection Techniques and Their Impact on Energy Efficiency\nScalability and Cost-Effectiveness of AI Solutions for Large Building Portfolios\n\nSponsored by: Energy Twin\nEnergy Twin specializes in advanced machine learning solutions for energy management. Beyond its primary offerings for building portfolio analysis, the company provides customized machine learning solutions tailored to specific client needs, enabling diverse organizations to optimize energy consumption and reduce operational costs. With a focus on scalability and efficient energy use, Energy Twin enables clients to drive impactful energy savings through accessible, data-driven insights.\n\n
X-ALT-DESC;FMTTYPE=text/html:<section class="l-section wpb_row height_medium"><div class="l-section-h i-cf"><div class="g-cols vc_row via_grid cols_1 laptops-cols_inherit tablets-cols_inherit mobiles-cols_1 valign_top type_default stacking_default"><div class="wpb_column vc_column_container"><div class="vc_column-inner"><div class="w-btn-wrapper align_none"><a class="w-btn us-btn-style_1" title="Register Now" href="https://youtu.be/rP0i5fBbvno?mc_cid=b46d544666&amp;mc_eid=UNIQID"><span class="w-btn-label">Watch Now</span></a></div><div class="w-btn-wrapper align_none"><a class="w-btn us-btn-style_1" title="Register Now" href="https://www.proprofs.com/quiz-school/ugc/story.php?title=finding-black-sheep-in-your-building-portfolio-using-explainable-ai&amp;mc_cid=b46d544666&amp;mc_eid=UNIQID"><span class="w-btn-label">Take Quiz</span></a></div><div class="w-btn-wrapper align_none"><a class="w-btn us-btn-style_1" title="Register Now" href="https://www.dropbox.com/scl/fi/atgtcl4f7gauldxzji1tf/Finding-Black-Sheep-in-your-Building-Portfolio-Using-Explainable-AI.pdf?rlkey=ihrtgz4mc7rtouv7ou6wxawc8&amp;st=6yemsxsr&amp;dl=0&amp;mc_cid=b46d544666&amp;mc_eid=UNIQID"><span class="w-btn-label">Download Slides</span></a></div><div class="w-separator size_medium"></div><div class="wpb_text_column"><div class="wpb_wrapper"><p><strong>Abstract:</strong></p>
<p data-pm-slice="1 1 &#091;&#093;">AI is transforming energy management, offering Energy Managers, TAB professionals, Cx agents, and Facility Managers powerful tools for efficiency and cost reduction. This presentation highlights practical, data-driven applications that reveal energy-saving opportunities, optimize cooling, and reduce operational waste across individual buildings and large portfolios.</p>
<p data-pm-slice="1 1 &#091;&#093;">Attendees will explore real-world examples, including a fast-food chain case study demonstrating how these solutions yield measurable savings and operational improvements.</p>
<p><strong>Learning Objectives:</strong></p>
<ul>
<li>Understanding Key Challenges in Developing Meaningful Machine Learning Models for Energy Management</li>
<li>Leveraging Explainable AI to Generate Actionable Insights for Energy Savings</li>
<li>Exploring Anomaly Detection Techniques and Their Impact on Energy Efficiency</li>
<li>Scalability and Cost-Effectiveness of AI Solutions for Large Building Portfolios</li>
</ul>
<p>Sponsored by: <a href="https://energytwin.io/">Energy Twin</a></p>
<p><img decoding="async" class="size-medium wp-image-3470 alignleft" src="https://www.energymgmt.org/wp-content/uploads/2024/11/cropped-Energy-Twin_logo-2-300x106.png" alt="EMA Webinar Sponsor" width="300" height="106" srcset="https://www.energymgmt.org/wp-content/uploads/2024/11/cropped-Energy-Twin_logo-2-300x106.png 300w, https://www.energymgmt.org/wp-content/uploads/2024/11/cropped-Energy-Twin_logo-2.png 932w" sizes="(max-width: 300px) 100vw, 300px" />Energy Twin specializes in advanced machine learning solutions for energy management. Beyond its primary offerings for building portfolio analysis, the company provides customized machine learning solutions tailored to specific client needs, enabling diverse organizations to optimize energy consumption and reduce operational costs. With a focus on scalability and efficient energy use, Energy Twin enables clients to drive impactful energy savings through accessible, data-driven insights.</p>
</div></div></div></div></div></div></section>

URL:https://www.energymgmt.org/events/finding-black-sheep-in-your-building-portfolio-using-explainable-ai/
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