Deep Learning Publication Navigator - subtopic: energy

Year TitleAuthor
2017   Neurostream: Scalable and Energy Efficient Deep Learning with Smart Memory Cubes  E Azarkhish, D Rossi, I Loi, L Benini
2017   Deep Neural Networks as Time Series Forecasters of Energy Demand  G Merkel
2017   A Heterogeneous Multi-Core System-on-Chip for Energy Efficient Brain Inspired Computing  A Pullini, F Conti, D Rossi, I Loi, M Gautschi, L Benini
2017   A Model of Energy-Awareness Predictor to Improve the Energy Efficiency  S Kim, YI Yoon
2017   Mining Big Building Operational Data for Building Cooling Load Prediction and Energy Efficiency Improvement  F Xiao, S Wang, C Fan
2017   Deep Learning Based Intelligent Basketball Arena with Energy Image  W Liu, J Liu, X Gu, K Liu, X Dai, H Ma
2017   Short-term Wind Energy Prediction Algorithm Based on SAGA-DBNs  W Fei, WU Zhong
2017   An Empirical Study on Energy Disaggregation via Deep Learning  W He, Y Chai
2017   A Design of Unmanned Aerial Vehicles (UAV) model using AeroSim blocks for energy efficiency techniques  E Niyonsaba, JW Jang
2017   Energy efficient HVAC control for an IPS-enabled large space in commercial buildings through dynamic spatial occupancy distribution  W Wang, J Chen, G Huang, Y Lu
2017   Classification without labels: Learning from mixed samples in high energy physics  EM Metodiev, B Nachman, J Thaler
2017   Machine Learning for Quantum Dynamics: Deep Learning of Excitation Energy Transfer Properties  F Häse, C Kreisbeck, A Aspuru
2017   CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks  M Paganini, L de Oliveira, B Nachman
2017   Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE  Q Liu, D Wang
2017   Monthly energy consumption forecast: A deep learning approach  RF Berriel, AT Lopes, A Rodrigues, FM Varejão
2017   Deep neural networks for energy load forecasting  K Amarasinghe, DL Marino, M Manic
2017   Multi-Objective Optimization of Hybrid Renewable Energy System with Load Forecasting  M Ming, R Wang, Y Zha, T Zhang
2016   Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity  T Mesnard, W Gerstner, J Brea
2016   Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning  E Mocanu, PH Nguyen, WL Kling, M Gibescu
2016   Addressing the main challenges of energy security in the twenty-first century–Contributions of the conferences on Sustainable Development of Energy, Water and …  N Markovska, N Duić, BV Mathiesen, Z Guzović
2016   Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs  D Li, X Chen, M Becchi, Z Zong
2016   Unsupervised energy prediction under smart grid context using reinforcement cross buildings transfer learning  E Mocanu, PH Nguyen, WL Kling, M Gibescu
2016   Building energy modeling (BEM) using clustering algorithms and semi-supervised machine learning approaches  H Naganathan, WO Chong, X Chen
2016   Deep Learning to estimate building energy demands in the smart grid context  E Mocanu, PH Nguyen, M Gibescu, W Kling
2016   Generative Adversarial Networks as Variational Training of Energy Based Models  S Zhai, Y Cheng, R Feris, Z Zhang
2016   Optimization of decentralized renewable energy system by weather forecasting and deep machine learning techniques  T Sogabe, H Ichikawa, K Sakamoto, K Yamaguchi
2016   Effects of Security and Privacy Concerns on using of Cloud Services in Energy Industry, an Oil and Gas Company: A Case Study  A Poorebrahimi, F SoleimaniRoozbahani
2016   Bio-inspired system architecture for energy efficient, BIGDATA computing with application to wide area motion imagery  AG Andreou, T Figliolia, K Sanni, TS Murray, G Tognetti
2016   Deep Wavelet Scattering for Quantum Energy Regression  M Hirn
2016   Memory system optimizations for energy and bandwidth efficient data movement  M Nazm Bojnordi
2016   PCANet: An energy perspective  J Wu, S Qiu, Y Kong, L Jiang, L Senhadji, H Shu
2016   Deep learning for estimating building energy consumption  E Mocanu, P Nguyen, M Gibescu, WL Kling
2016   Big IoT data mining for real-time energy disaggregation in buildings  DC Mocanu, E Mocanu, PH Nguyen, M Gibescu
2016   Smart Tiles—an Energy Infrastructure for the Solar System  H Bloom
2016   DeLight: Adding Energy Dimension To Deep Neural Networks  BD Rouhani, A Mirhoseini, F Koushanfar
2016   Saving Energy in QoS Networked Data Centers  M Shojafar
2016   Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues  A Mishra, K Alahari, CV Jawahar
2016   Improving energy efficiency and classification accuracy of neuromorphic chips by learning binary synaptic crossbars  AJ Yepes, J Tang
2016   Energy Internet: The business perspective  K Zhou, S Yang, Z Shao
2015   Generalized approach to energy distribution of spin system  B Kryzhanovsky, L Litinskii
2015   Quantum Energy Regression using Scattering Transforms  M Hirn, N Poilvert, S Mallat
2015   Deadline-aware task scheduling for solar-powered nonvolatile sensor nodes with global energy migration  D Zhang, Y Liu, X Sheng, J Li, T Wu, CJ Xue, H Yang
2015   Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy  M Gabrié, EW Tramel, F Krzakala
2015   Deep Neural Networks for Wind Energy Prediction  D Díaz, A Torres, JR Dorronsoro
2015   The Kinetic Energy of Hydrocarbons as a Function of Electron Density and Convolutional Neural Networks  K Yao, J Parkhill
2015   Data Center Energy Consumption Modeling: A Survey  M Dayarathna, Y Wen, R Fan
2015   Neural NILM: Deep Neural Networks Applied to Energy Disaggregation  J Kelly, W Knottenbelt
2015   Generalized approach to description of energy distribution of spin system  B Kryzhanovsky, L Litinskii
2015   Semi-supervised Energy Modeling (SSEM) for Building Clusters Using Machine Learning Techniques  H Naganathan, WK Chong, X Chen
2015   Neural Conditional Energy Models for Multi-label Classification  H Jing, SD Lin
2015   Using energy profiles to identify university energy reduction opportunities  N Maistry, H Annegarn
2015   Efficient Generation of Energy and Performance Pareto Front for FPGA Designs  SR Kuppannagari, VK Prasanna
2015   Structured Prediction Energy Networks  D Belanger, A McCallum
2015   Big Data Analytic: Cases for Communications Systems Modeling and Renewable Energy Forecast  YS Manjili, M Niknamfar
2015   A common approach to intelligent energy and mobility services in a smart city environment  M Lützenberger, N Masuch, T Küster, D Freund, M Voß
2014   Deep Belief Network Training Improvement Using Elite Samples Minimizing Free Energy  MA Keyvanrad, MM Homayounpour
2014   Atomic Energy Models For Machine Learning: Atomic Restricted Boltzmann Machines  H Tosun
2014   The Potential Energy of an Autoencoder  H Kamyshanska, R Memisevic
2014   Energy Based Models and Boltzmann Machines (Cont.)  W Adams, K Plis