• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 41 matches

• 2020
• 
  Roya Gholami, Ali Emrouznejad, Yazan Alnsour, Hasan B. Kartal, Julija Veselova:
  The Impact of Smart Meter Installation on Attitude Change Towards Energy Consumption Behavior Among Northern Ireland Households. J. Glob. Inf. Manag. 28(4): 21-37 (2020)
• 
  Arijit Ukil, Antonio J. Jara, Leandro Marín:
  On Analyzing the Household Energy Consumption Detection for Citizen Behavioral Analysis Carbon Footprint Awareness by Deep Residual Networks. CIKM (Workshops) 2020
• 
  Reeba Raza, Naveed Ul L. Hassan:
  Quantifying the Impact of Customized Feedback on User Energy Consumption Behavior with Low-cost IoT Setup. UCET 2020: 1-4
• 2019
• 
  Shailendra Singh, Abdulsalam Yassine:
  Mining Energy Consumption Behavior Patterns for Households in Smart Grid. IEEE Trans. Emerg. Top. Comput. 7(3): 404-419 (2019)
• 
  Michéle Weisbach, Utz Spaeth, Benedikt Schmuelling:
  Energy Consumption Behavior Model for an Urban Transportation System Using Multidimensional Correlation Structures : Applied at the Trolley Bus System in Solingen (North Rhine-Westphalia, Germany). ICITE 2019: 152-158
• 
  Tim Sonnekalb, Sergio Lucia:
  Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption. WF-IoT 2019: 572-577
• 2018
• 
  Supadchaya Puangpontip, Rattikorn Hewett:
  Predicting customer behaviors on energy consumption: Why past usage data are not enough? BigData 2018: 4577-4581
• 
  Mahnoor Khan, Nadeem Javaid, Muhammad Nabeel Iqbal, Muhammad Bilal, Syed Farhan Ali Zaidi, Rashid Ali Raza:
  Load Prediction Based on Multivariate Time Series Forecasting for Energy Consumption and Behavioral Analytics. CISIS 2018: 305-316
• 
  Valeria Dolce, Courtney Jackson, Simone Silvestri, Denise A. Baker, Alessandra De Paola:
  Social-Behavioral Aware Optimization of Energy Consumption in Smart Homes. DCOSS 2018: 163-172
• 
  Hanna Pihkola, Mikko Hongisto, Olli Apilo, Mika Lasanen, Saija Vatanen:
  Energy consumption of mobile data transfer - Increasing or decreasing? Evaluating the impact of technology development & user behavior. ICT4S 2018: 301-315
• 
  Andrea Mauri, Achilleas Psyllidis, Alessandro Bozzon:
  Social Smart Meter: Identifying Energy Consumption Behavior in User-Generated Content. WWW (Companion Volume) 2018: 195-198
• 2017
• 
  Guo Li, Wenling Liu, Zhaohua Wang, Mengqi Liu:
  An empirical examination of energy consumption, behavioral intention, and situational factors: evidence from Beijing. Ann. Oper. Res. 255(1-2): 507-524 (2017)
• 
  Zhi-Ren Tsai, Han-Wei Zhang, Chin-Teng Lin:
  A study on an energy consumption model correlated to abnormal behavior by contactless method. Comput. Hum. Behav. 74: 53-62 (2017)
• 
  Yingchen Zhang, Rui Yang, Kaiqing Zhang, Huaiguang Jiang, Jun Jason Zhang:
  Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch. IEEE Intell. Syst. 32(4): 59-63 (2017)
• 2015
• 
  Adriana Reveiu, Ion Smeureanu, Marian Dardala, Roman Kanala:
  Modelling Domestic Lighting Energy Consumption in Romania by Integrating Consumers Behavior. ANT/SEIT 2015: 812-818
• 
  Shin Nakajima, Si-Mohamed Lamraoui:
  Fault Localization of Energy Consumption Behavior Using Maximum Satisfiability. CyPhy 2015: 99-115
• 
  Shin Nakajima:
  Using Real-Time Maude to Model Check Energy Consumption Behavior. FM 2015: 378-394
• 
  Daniel Schweizer, Michael Zehnder, Holger Wache, Hans Friedrich Witschel, Danilo Zanatta, Miguel Rodriguez:
  Using Consumer Behavior Data to Reduce Energy Consumption in Smart Homes: Applying Machine Learning to Save Energy without Lowering Comfort of Inhabitants. ICMLA 2015: 1123-1129
• 
  Fernando Rodrigues, Angelo Brayner, José Everardo Bessa Maia:
  Using fractal clustering to explore behavioral correlation: a new approach to reduce energy consumption in WSN. SAC 2015: 589-591
• 
  Daniel Schweizer, Michael Zehnder, Holger Wache, Hans Friedrich Witschel, Danilo Zanatta, Miguel Rodriguez:
  Using consumer behavior data to reduce energy consumption in smart homes. CoRR abs/1510.00165 (2015)
• 2014
• 
  Jaap Ham, Cees J. H. Midden:
  A Persuasive Robot to Stimulate Energy Conservation: The Influence of Positive and Negative Social Feedback and Task Similarity on Energy-Consumption Behavior. Int. J. Soc. Robotics 6(2): 163-171 (2014)
• 
  Shin Nakajima:
  Model Checking of Energy Consumption Behavior. CSDM Asia 2014: 3-14
• 
  Panikos Heracleous, Pongtep Angkititrakul, Kazuya Takeda:
  Stochastic modeling and disaggregation of energy-consumption behavior. ICASSP 2014: 8277-8281
• 
  Konstantina Desipri, Nikoletta Zampeta Legaki, Vassilis Assimakopoulos:
  Determinants of domestic electricity consumption and energy behavior: A Greek case study. IISA 2014: 144-149
• 
  Li Bu, Dongbin Zhao, Yu Liu, Qiang Guan:
  A hierarchical classification algorithm for evaluating energy consumption behaviors. IJCNN 2014: 1461-1466
• 
  Brandon J. Johnson, Michael R. Starke, Omar A. Abdelaziz, Roderick K. Jackson, Leon M. Tolbert:
  A method for modeling household occupant behavior to simulate residential energy consumption. ISGT 2014: 1-5
• 
  Prajwal Khadgi, Lihui Bai, Gerald W. Evans:
  Using agent based simulation and model predictive control to study energy consumption behavior under dynamic pricing. Winter Simulation Conference 2014: 288-299
• 2013
• 
  Patricia M. Kluckner, Astrid Weiss, Johann Schrammel, Manfred Tscheligi:
  Exploring Persuasion in the Home: Results of a Long-Term Study on Energy Consumption Behavior. AmI 2013: 150-165
• 
  Patricia M. Kluckner:
  Improving long-term Persuasion for Energy Consumption Behavior: User-Centered Development of an Ambient Persuasive Display for Private Households. PERSUASIVE (Adjunct Proceedings) 2013
• 2012
• 
  Asunción Paloma Cucala García, Antonio Fernández-Cardador, C. Sicre, María Domínguez Gago:
  Fuzzy optimal schedule of high speed train operation to minimize energy consumption with uncertain delays and driver's behavioral response. Eng. Appl. Artif. Intell. 25(8): 1548-1557 (2012)

skipping 11 more matches