<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">David Blum</style></author><author><style face="normal" font="default" size="100%">Michael Wetter</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MPCPy: An Open-Source Software Platform for Model Predictive Control in Buildings</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 15th IBPSA Conference: Building Simulation 2017</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Model predictive control (MPC)</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ibpsa.org/proceedings/BS2017/BS2017_351.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">San Francisco</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;Body&quot;&gt;Within the last decade, needs for building control systems that reduce cost, energy, or peak demand, and that facilitate building-grid integration, district-energy system optimization, and occupant interaction, while maintaining thermal comfort and indoor air quality, have come about.&amp;nbsp; Current PID and schedule-based control systems are not capable of fulfilling these needs, while Model Predictive Control (MPC) could.&amp;nbsp; Despite the critical role MPC-enabled buildings can play in future energy infrastructures, widespread adoption of MPC within the building industry has yet to occur.&amp;nbsp; To address barriers associated with system setup and configuration, this paper introduces an open-source software platform that emphasizes use of self-tuning adaptive models, usability by non-experts of MPC, and a flexible architecture that enables application across projects.&lt;/p&gt;</style></abstract><custom2><style face="normal" font="default" size="100%">LBNL-2001226</style></custom2></record></records></xml>