作者: Marc Frincu , Charalampos Chelmis , Rizwan Saeed , Viktor Prasanna , Saima Aman
关键词: Reliability engineering 、 Real-time computing 、 Outcome (game theory) 、 Microgrid 、 Smart grid 、 Event (computing) 、 Theory to practice 、 Engineering 、 Control (management) 、 Dynamic demand 、 Demand response
摘要: Demand response (DR) is used in smart grids to shape customer load during peak hours. Automated DR offers utilities a fine grained control and high degree of confidence the outcome. However impact on customer's comfort means this technique more suited for industrial commercial settings than residential homes. In paper we present real-life system achieving automated controlled heterogeneous environment. The integrated with USC microgrid. Results show that while per building event basis accuracy our prediction selection techniques varies, it performs well average when considering several events buildings.