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In this paper, we propose a gamification approach as a novel framework for smart building infrastructure with the goal of motivating human occupants to reconsider personal energy usage and to have positive effects on their environment.
Testing for causality: A personal viewpoint
C.W.J. Granger · 1980
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Nitesh V Chawla, Kevin W Bowyer, Lawrence O Hall, and W Philip Kegelmeyer · 2002
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Geoffrey E Hinton, Simon Osindero, and Yee-Whye Teh · 2006
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Economic growth and energy consumption revisited evidence from linear and nonlinear granger causality
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The Elements of Statistical Learning, Data Mining, Interference, and Prediction
Trevor Hastie, Robert Tibshirani, and Jerome Friedman · 2009
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JM McQuade · 2009
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An incentive mechanism for decongesting the roads: A pilot program in bangalore
Deepak Merugu, Balaji S Prabhakar, and NS Rama · 2009
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Agent-based control for decentralised demand side management in the smart grid
Sarvapali D Ramchurn, Perukrishnen Vytelingum, Alex Rogers, and Nick Jennings · 2011
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Ventilation rates and health: multidisciplinary review of the scientific literature
Jan Sundell, Hal Levin, William W Nazaroff, William S Cain, William J Fisk, David T Grimsrud, F Gyntelberg, Y Li, AK Persily, AC Pickering, et al · 2011
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Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design
Monika Frontczak, Stefano Schiavon, John Goins, Edward Arens, Hui Zhang, and Pawel Wargocki · 2012
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Using residential electric loads for fast demand response: The potential resource and revenues, the costs, and policy recommendations
J.L. Mathieu, M.E. Dyson, D.S. Callaway, and A. Rosenfeld · 2012
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Searching and mining trillions of time series subsequences under dynamic time warping
Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, Gustavo Batista, Brandon Westover, Qiang Zhu, Jesin Zakaria, and Eamonn Keogh · 2012
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Laboratory-based smart power system, part i: Design and system development
Vahid Salehi, Ahmed Mohamed, Ali Mazloomzadeh, and Osama A Mohammed · 2012
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A gesture interface game for energy consumption awareness
Ricardo Salvador, Teresa Romão, and Pedro Centieiro · 2012
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Advanced demand side management for the future smart grid using mechanism design
Pedram Samadi, Hamed Mohsenian-Rad, Robert Schober, and Vincent WS Wong · 2012
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Saving energy at work: The design of a pervasive game for office spaces
Jonathan Simon, Marco Jahn, and Amro Al-Akkad · 2012
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Dependable demand response management in the smart grid: A stackelberg game approach
Sabita Maharjan, Quanyan Zhu, Yan Zhang, Stein Gjessing, and Tamer Basar · 2013
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Roc analysis of classifiers in machine learning: A survey
Matjaz Majnik and Zoran Bosnic · 2013
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Insinc: A platform for managing peak demand in public transit
Christopher Pluntke and Balaji Prabhakar · 2013
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The social power game: A smart application for sharing energy-saving behaviours in the city
Vanessa De Luca and Roberta Castri · 2014
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Incorporating social interaction into hybrid choice models
Maria Karmargianni, Moshe Ben-Akiva, and Amalia Polydoropoulou · 2014
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Social incentive policies to engage commercial building occupants in demand response
S. Li, K. Deng, and M. Zhou · 2014
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Saving energy in an office environment: A serious game intervention
Brian Orland, Nilam Ram, Dean Lang, Kevin Houser, Nate Kling, and Michael Coccia · 2014
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Social game for building energy efficiency: Incentive design
Lillian J Ratliff, Ming Jin, Ioannis C Konstantakopoulos, Costas Spanos, and S Shankar Sastry · 2014
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Fast and accurate deep network learning by exponential linear units (elus)
Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter · 2015
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Scene labeling using sparse precision matrix
N. Souly and M. Shah · 2016
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Supply–demand balancing for power management in smart grid: A stackelberg game approach
Mengmeng Yu and Seung Ho Hong · 2016
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A novel bidirectional mechanism based on time series model for wind power forecasting
Yongning Zhao, Lin Ye, Zhi Li, Xuri Song, Yansheng Lang, and Jian Su · 2016
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Nonlinear autoregressive recurrent neural network model for solar radiation prediction
Yazeed A Al-Sbou and Khaled M Alawasa · 2017
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Game-theoretic modeling of curtailment rules and network investments with distributed generation
Merlinda Andoni, Valentin Robu, Wolf-Gerrit Früh, and David Flynn · 2017
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Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, and Daan Wierstra · 2015
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Statistical Learning with Sparsity: The Lasso and Generalizations
Trevor Hastie, Robert Tibshirani, and Martin Wainwright · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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A discrete choice approach to modeling food store access
Amy Hillier, Tony Smith, and Carolyn C. Cannuscio · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Occupant centered lighting control for comfort and energy efficient building operation
Zoltan Nagy, Fah Yik Yong, Mario Frei, and Arno Schlueter · 2015
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Demand response for sustainable energy systems: A review, application and implementation strategy
Farshid Shariatzadeh, Paras Mandal, and Anurag K. Srivastava · 2015
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Fabrizio Ascione, Nicola Bianco, Claudio De Stasio, Gerardo Maria Mauro, and Giuseppe Peter Vanoli · 2017
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A short-term building cooling load prediction method using deep learning algorithms
Cheng Fan, Fu Xiao, and Yang Zhao · 2017
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Network inference via the time-varying graphical lasso
David Hallac, Youngsuk Park, Stephen P. Boyd, and Jure Leskovec · 2017
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Privacy-enhanced architecture for occupancy-based hvac control
Ruoxi Jia, Roy Dong, S Shankar Sastry, and Costas J Sapnos · 2017
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Mod-dr: Microgrid optimal dispatch with demand response
Ming Jin, Wei Feng, Ping Liu, Chris Marnay, and Costas Spanos · 2017
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Leveraging correlations in utility learning
Ioannis C Konstantakopoulos, Lillian J Ratliff, Ming Jin, and Costas J Spanos · 2017
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Estimating heterogeneity of car travelers on mode shifting behavior based on discrete choice models
Huanmei Qin, Jianqiang Gao, Hongzhi Guan, and Hongbo Chi · 2017
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Combined effects of short-term noise exposure and hygrothermal conditions on indoor environmental perceptions
Wonyoung Yang, Hyeun Jun Moon, and Myung-Jun Kim · 2017
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Incentive-based demand response considering hierarchical electricity market: A stackelberg game approach
Mengmeng Yu and Seung Ho Hong · 2017
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Practical closed-loop dynamic pricing in smart grid for supply and demand balancing
Jianping He, Chengcheng Zhao, Lin Cai, Peng Cheng, and Ling Shi · 2018
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Applied discrete-choice modelling
David A. Hensher and Lester W. Johnson · 2018
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Poisoning attacks on data-driven utility learning in games
Ruoxi Jia, Ioannis C Konstantakopoulos, Bo Li, and Costas Spanos · 2018
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Percentage of commercial buildings showing at least 80% occupant satisfied with their thermal comfort
Caroline Karmann, Stefano Schiavon, and Edward Arens · 2018
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Personal thermal comfort models based on physiological parameters measured by wearable sensors
S. Liu, M. Jin, H. Das, C. Spanos, and S. Schiavon · 2018
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Direct interval forecast of uncertain wind power based on recurrent neural networks
Zhichao Shi, Hao Liang, and Venkata Dinavahi · 2018
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Deeptest: Automated testing of deep-neural-network-driven autonomous cars
Yuchi Tian, Kexin Pei, Suman Jana, and Baishakhi Ray · 2018
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Limiting gaming opportunities on incentive-based demand response programs
José Vuelvas, Fredy Ruiz, and Giambattista Gruosso · 2018
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A novel graphical lasso based approach towards segmentation analysis in energy game-theoretic frameworks, 2019
Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, and Costas J. Spanos · 2019
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Personal thermal comfort models with wearable sensors
Shichao Liu, Stefano Schiavon, Hari Prasanna Das, Ming Jin, and Costas J. Spanos · 2019
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