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DESCRIPTION:Internet of Things (IoT) deployments offer a much higher value 
 proposition if these can function in the context of smart buildings. Such 
 advanced information and communication technology (ICT) applications in co
 mmercial buildings\, schools\, libraries\, shopping centers\, etc. offer l
 ow cost but highly effective monitoring and control opportunities. Sensors
  deployed in key locations can monitor the building environment in real-ti
 me\, collect information for intelligent decision making\, and facilitate 
 various services. An IoT sensor platform has been developed that provides 
 a unified communication platform which can integrate information from disp
 arate sources and provide one control hierarchy. It is a powerful\, low-co
 st\, open-architecture software platform that can monitor and control majo
 r electrical loads (e.g.\, HVAC\, lighting and plug loads)\, as well as so
 lar PV systems\, energy storage units and other IoT sensors in commercial 
 buildings. The platform can provide new or legacy buildings with a buildin
 g automation system (BAS) or connect with existing BAS systems in large an
 d small commercial buildings. This platform leverages machine learning alg
 orithms to draw insights from a deployed building’s historical operating
  data and occupant preferences to save energy (kWh) while increasing occup
 ant comfort. This also allows buildings to reduce peak demand (kW) through
  direct communication with utilities using demand response protocols such 
 as openADR.\n\nSpeaker(s): Professor Saifur Rahman\, \n\nAgenda: \n6:30 PM
  - 6:45 PM Networking and Refreshments\n\n6:45 PM - 7:00 PM - Chapter Anno
 uncements and Introduction of the Speaker\n\n7:00 PM - 8:30 PM - Talk with
  Q and A\n\nRoom: Meeting Room 2\, Bldg: Dolley Madison Library\, 1244 Oak
  Ridge Ave\, Mclean\, Virginia\, United States
LOCATION:Room: Meeting Room 2\, Bldg: Dolley Madison Library\, 1244 Oak Rid
 ge Ave\, Mclean\, Virginia\, United States
ORGANIZER:murtyp@ieee.org
SEQUENCE:4
SUMMARY:An IoT Platform for Building Energy Efficiency Applications - IEEE 
 Computer Society Chapter Meeting
URL;VALUE=URI:https://events.vtools.ieee.org/m/222731
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Internet of Things (IoT) deployments offer
  a much higher value proposition if these can function in the context of s
 mart buildings. Such advanced information and communication technology (IC
 T) applications in commercial buildings\, schools\, libraries\, shopping c
 enters\, etc. offer low cost but highly effective monitoring and control o
 pportunities.&amp;nbsp\; Sensors deployed in key locations can monitor the bui
 lding environment in real-time\, collect information for intelligent decis
 ion making\, and facilitate various services. An IoT sensor platform has b
 een developed that provides a unified communication platform which can int
 egrate information from disparate sources and provide one control hierarch
 y. It is a powerful\, low-cost\, open-architecture software platform that 
 can monitor and control major electrical loads (e.g.\, HVAC\, lighting and
  plug loads)\, as well as solar PV systems\, energy storage units and othe
 r IoT sensors in commercial buildings. The platform can provide new or leg
 acy buildings with a building&amp;nbsp\;automation system (BAS) or connect wit
 h existing BAS systems in large and small commercial buildings. This platf
 orm leverages machine learning algorithms to draw insights from a deployed
  building&amp;rsquo\;s&amp;nbsp\;historical operating data and occupant preference
 s to save energy (kWh) while increasing&amp;nbsp\;occupant comfort. This also 
 allows buildings to reduce&amp;nbsp\;peak demand (kW) through direct&amp;nbsp\;com
 munication with utilities using demand response protocols such as openADR.
 &amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;6:30 PM - 6:45 PM Networking and R
 efreshments&lt;/p&gt;\n&lt;p&gt;6:45 PM - 7:00 PM - Chapter Announcements and Introduc
 tion of the Speaker&lt;/p&gt;\n&lt;p&gt;7:00 PM - 8:30 PM - Talk with Q and A&lt;/p&gt;
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