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ORCID6th BuildSys 2019: New York, NY, USA
- Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2019, New York, NY, USA, November 13-14, 2019. ACM 2019, ISBN 978-1-4503-7005-9
- Dhrubojyoti Roy, Sangeeta Srivastava
, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora:
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. 1-10 - Md. Osman Gani, Vaskar Raychoudhury, Janick Edinger, Valeria Mokrenko, Zheng Cao, Ce Zhang:
Smart Surface Classification for Accessible Routing through Built Environment: A Crowd-sourced Approach. 11-20 - Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim:
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference. 21-30 - Alok Ranjan, Prasant Misra, Arunchandar Vasan, Sunil Krishnakumar, Anand Sivasubramaniam:
City Scale Monitoring of On-Street Parking Violations with StreetHAWK. 31-40 - Joseph Breda, Amee Trivedi, Chulabhaya Wijesundara, Phuthipong Bovornkeeratiroj, David E. Irwin, Prashant J. Shenoy, Jay Taneja:
Hot or Not: Leveraging Mobile Devices for Ubiquitous Temperature Sensing. 41-50 - Zimu Zheng, Yimin Dai, Dan Wang:
DUET: Towards a Portable Thermal Comfort Model. 51-60 - Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen:
Heterogeneous Transfer Learning for Thermal Comfort Modeling. 61-70 - Ashrant Aryal, Burcin Becerik-Gerber:
Skin Temperature Extraction Using Facial Landmark Detection and Thermal Imaging for Comfort Assessment. 71-80 - Jonathan Francis, Matias Quintana, Nadine von Frankenberg, Sirajum Munir, Mario Bergés:
OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information. 81-90 - Roberto Yus, Georgios Bouloukakis, Sharad Mehrotra, Nalini Venkatasubramanian:
Abstracting Interactions with IoT Devices Towards a Semantic Vision of Smart Spaces. 91-100 - Renju Liu, Ziqi Wang, Luis Garcia, Mani B. Srivastava:
RemedioT: Remedial Actions for Internet-of-Things Conflicts. 101-110 - Zixiao Shi, Guy R. Newsham, Long Chen, H. Burak Gunay:
Evaluation of Clustering and Time Series Features for Point Type Inference in Smart Building Retrofit. 111-120 - Jason Koh, Dezhi Hong, Shreyas Nagare, Sudershan Boovaraghavan, Yuvraj Agarwal, Rajesh K. Gupta:
Who can Access What, and When?: Understanding Minimal Access Requirements of Building Applications. 121-124 - Gabe Fierro, Jason Koh, Yuvraj Agarwal, Rajesh K. Gupta, David E. Culler:
Beyond a House of Sticks: Formalizing Metadata Tags with Brick. 125-134 - Carlos Ruiz Dominguez, João Diogo Falcão, Shijia Pan, Hae Young Noh, Pei Zhang:
AIM3S: Autonomous Inventory Monitoring through Multi-Modal Sensing for Cashier-Less Convenience Stores. 135-144 - June Young Park, Edward Mbata, Zoltán Nagy:
Good to see you again: Capture and recapture method on mobile devices to estimate occupancy profiles. 145-148 - Shijia Pan, Mario Berges, Juleen Rodakowski, Pei Zhang, Hae Young Noh:
Fine-Grained Recognition of Activities of Daily Living through Structural Vibration and Electrical Sensing. 149-158 - Christoph Klemenjak, Andreas Reinhardt, Lucas Pereira, Stephen Makonin, Mario Bergés, Wilfried Elmenreich:
Electricity Consumption Data Sets: Pitfalls and Opportunities. 159-162 - Lucas Pereira, Vitor Aguiar, Fábio Vasconcelos:
Future Industrial Kitchen: Challenges and Opportunities. 163-164 - Farnaz Khaghani, Armin Rahimi-Golkhandan, Farrokh Jazizadeh, Michael J. Garvin:
Urban Transportation System Resilience and Diversity Coupling using Large-scale Taxicab GPS Data. 165-168 - Wenjie Xu, Qingyu Liu, Minghua Chen, Haibo Zeng:
Ride the Tide of Traffic Conditions: Opportunistic Driving Improves Energy Efficiency of Timely Truck Transportation. 169-178 - Rachel Cardell-Oliver, Prathyusha Sangam:
Tracking the Evolution of Public Transport Demand using Spatial-Social-Temporal Contexts. 179-182 - Jesse Zhang, Jack Sullivan, Vasudev Venkatesh P. B., Kyle Tse, Andy Yan, John Leyden, Kalyanaraman Shankari, Randy H. Katz:
TripAware: Emotional and Informational Approaches to Encourage Sustainable Transportation via Mobile Applications. 183-186 - Neda Mohammadi, John E. Taylor:
A Missing Link between Urban Mobility and Wellbeing. 187-188 - Lu Lin, Zheng Luo, Dezhi Hong, Hongning Wang:
Sequential Learning with Active Partial Labeling for Building Metadata. 189-192 - Nipun Batra, Rithwik Kukunuri, Ayush Pandey, Raktim Malakar, Rajat Kumar, Odysseas Krystalakos, Mingjun Zhong, Paulo Meira, Oliver Parson:
Towards reproducible state-of-the-art energy disaggregation. 193-202 - Dezhi Hong, Renqin Cai, Hongning Wang, Kamin Whitehouse:
Learning from Correlated Events for Equipment Relation Inference in Buildings. 203-212 - Akshay Murthy, Curtis Green, Radu Stoleru, Suman Bhunia, Charles Swanson, Theodora Chaspari:
Machine Learning-based Irrigation Control Optimization. 213-222 - Gaby M. Baasch, Adam Wicikowski, Gaëlle Faure, Ralph Evins:
Comparing Gray Box Methods to Derive Building Properties from Smart Thermostat Data. 223-232 - Gissella Bejarano, Adita Kulkarni, Raushan Raushan, Anand Seetharam, Arti Ramesh:
SWaP: Probabilistic Graphical and Deep Learning Models for Water Consumption Prediction. 233-242 - Zeal Shah, Alex Yen, Ajey Pandey, Jay Taneja:
GridInSight: Monitoring Electricity Using Visible Lights. 243-252 - Xiaoxia Li, Wei Li, Qiang Yang, Wenjun Yan, Albert Y. Zomaya:
Building an Online Defect Detection System for Large-scale Photovoltaic Plants. 253-262 - Milad Afzalan, Farrokh Jazizadeh:
Semantic search in household energy consumption segmentation through descriptive characterization. 263-266 - Peter Wei, Xiaofan Jiang:
Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting. 267-276 - Srinarayana Nagarathinam, Harihara Subrahmaniam Muralidharan, Arunchandar Vasan, Venkatesh Sarangan, Sermisha Narayana, Anand Sivasubramaniam:
One for all, All for one: a scalable decision-making framework for demand response with a district cooling plant. 277-286 - Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna:
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. 287-296 - Burak Gunay, Zixiao Shi, Araz Ashouri, Guy Newsham:
Development of a clustering-based morning start time estimation algorithm for space heating and cooling. 297-305 - Duc Van Le, Yingbo Liu, Rongrong Wang, Rui Tan, Yew-Wah Wong, Yonggang Wen:
Control of Air Free-Cooled Data Centers in Tropics via Deep Reinforcement Learning. 306-315 - Bingqing Chen, Zicheng Cai, Mario Bergés:
Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy. 316-325 - Xianzhong Ding, Wan Du, Alberto Cerpa:
OCTOPUS: Deep Reinforcement Learning for Holistic Smart Building Control. 326-335 - Hannie Zang, Sunyong Kim, Daeyoung Kang, Hyuk Lim:
Peak Demand Reduction using Energy Storage System for Demand Response. 336-337 - June Young Park, Jianli Chen, Xin Jin, Zoltán Nagy:
Investigating occupancy profiles using convolutional neural networks. 338-339 - Jason Koh, Kuo Liang, Yiming Yang, Dezhi Hong, Yuvraj Agarwal, Rajesh Gupta:
Interactive Building Metadata Normalization. 340-341 - Sébastien Faye, Foued Melakessou, Prune Gautier, Djamel Khadraoui:
No Time to Waste, with SWAM! 342-343 - Manu Lahariya, Nasrin Sadeghianpourhamami, Chris Develder:
Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations. 344-345 - Wenpeng Wang, Zachary Hicks, Bradford Campbell:
The Standby Energy in Smart Homes: Problems, Progress, & Potential. 346-347 - Adam Tyler, Oliver Bates, Adrian Friday, Mike Hazas:
A toolkit for low-cost thermal comfort sensing. 348-349 - Gaëlle Faure, Theo Christiaanse, Ralph Evins, Gaby M. Baasch:
BESOS: a Collaborative Building and Energy Simulation Platform. 350-351 - Sumaya Almanee, Georgios Bouloukakis, Daokun Jiang, Sameera Ghayyur, Dhrubajyoti Ghosh, Peeyush Gupta, Yiming Lin, Sharad Mehrotra, Primal Pappachan, Eun-Jeong Shin, Nalini Venkatasubramanian, Guoxi Wang, Roberto Yus:
SemIoTic: Bridging the Semantic Gap in IoT Spaces. 352-353 - Christoph Sydora, Eleni Stroulia:
Generative Interior Design using BIM. 354-355 - José R. Vázquez-Canteli, Jérôme Henri Kämpf, Gregor Henze, Zoltán Nagy:
CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning. 356-357 - Nipun Batra, Rithwik Kukunuri, Ayush Pandey, Raktim Malakar, Rajat Kumar, Odysseas Krystalakos, Mingjun Zhong, Paulo Meira, Oliver Parson:
A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK. 358-359 - Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora:
Lightweight, Deep RNNs for Radar Classification. 360-361 - Pranay Kumar Saha, Nilotpal Chakraborty, Arijit Mondal, Samrat Mondal:
Coordinated Scheduling of Residential Appliances and Heterogeneous Energy Sources in a Smart Microgrid. 362-363 - Rajasekhar Gopu, Anusha Gudimallam, Vishnu Brindavanam, Naveen Kumar Thokala, M. Girish Chandra:
On Electrical Load Disaggregation using Recurrent Neural Networks. 364-365 - Spoorthy Paresh, Naveen Kumar Thokala, M. Girish Chandra:
Electrical Load Disaggregation using a two-stage deep learning approach. 366-367 - Poonam Yadav, Vadim Safronov, Richard Mortier:
Enforcing accountability in Smart built-in IoT environment using MUD. 368-369 - Manasa Lingamallu, Vishal Garg:
Predicting Impact of Cooling Set-Point Change on Demand Reduction in Real-time. 370-371 - Noman Bashir, Dong Chen, David E. Irwin, Prashant J. Shenoy:
Solar-TK: A Solar Modeling and Forecasting Toolkit. 372 - Prakhar Mohan, Bogyeong Lee, Theodora Chaspari, Changbum Ryan Ahn:
Capturing Regularity of ADL Routines Using Hierarchical Clustering Models. 373-374 - Gabe Fierro, David E. Culler:
An Improved API and User Experience for the Mortar Testbed. 375 - Bogyeong Lee, Changbum Ryan Ahn, Prakhar Mohan, Theodora Chaspari, Hyunsoo Lee:
Measuring Routine Variability of Daily Activities with Image Complexity Metrics. 376-377 - Zeal Shah, Jay Taneja:
Monitoring Electric Grid Reliability Using Satellite Data. 378-379 - Tong Wu, Jorge Ortiz:
Towards Adaptive Anomaly Detection in Buildings with Deep Reinforcement Learning. 380-382 - Yaowei Long, Zidong Wu, Hongyi Liu, Titing Cui, Wenjie Xu, Minghua Chen:
Path and Speed Planning Online Platform for Energy-Efficient Timely Truck Transportation. 383-384 - Leepakshi Bindra, Kalvin Eng, Yancheng Ou, Omid Ardakanian, Eleni Stroulia:
Indoor Path Planning and Decentralized Access Control in Commercial Buildings. 385-386 - Nina M. Lutz, V. Michael Bove:
Colloidal Luminaries for Architectural Lighting. 387-388 - Hoonyong Lee, Changbum Ryan Ahn, Nakjung Choi:
Exploiting Multiple Receivers for CSI-Based Activity Classification Using A Hybrid CNN-LSTM Model. 389-390 - Matias Quintana, Clayton Miller:
Towards Class-Balancing Human Comfort Datasets with GANs. 391-392 - Tatiana Endrjukaite, Alexander Dudko, Leon R. Roose:
Energy Exchange Model in Routed Energy Distribution Network. 393-394 - Carlos Ruiz Dominguez, João Diogo Falcão, Shijia Pan, Hae Young Noh, Pei Zhang:
Autonomous Inventory Monitoring through Multi-Modal Sensing (AIM3S) for Cashier-Less Stores. 395-396
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