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A building energy consumption prediction model based on rough set theory and deep learning algorithmsEnergy and buildings, 2021-06, Vol.240 [Peer Reviewed Journal]ISSN: 1872-6178 ;ISSN: 0378-7788 ;DOI: 10.1016/j.enbuild.2021.110886Digital Resources/Online E-Resources |
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Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based FrameworkSensors (Basel, Switzerland), 2020-03, Vol.20 (5), p.1399 [Peer Reviewed Journal]2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20051399 ;PMID: 32143371Full text available |
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Machine learning for estimation of building energy consumption and performance: a reviewVisualization in engineering, 2018-10, Vol.6 (1), p.1-20, Article 5 [Peer Reviewed Journal]The Author(s) 2018 ;Visualization in Engineering is a copyright of Springer, (2018). All Rights Reserved. © 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2213-7459 ;EISSN: 2213-7459 ;DOI: 10.1186/s40327-018-0064-7Full text available |
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Analysis of energy consumption profiles in residential buildings and impact assessment of a serious game on occupants’ behaviorEnergy and buildings, 2019-08, Vol.196, p.1-20 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0378-7788 ;DOI: 10.1016/j.enbuild.2019.05.009Digital Resources/Online E-Resources |
5 |
Material Type: Article
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Hybrid CNN-LSTM Model for Short-Term Individual Household Load ForecastingIEEE access, 2020, Vol.8, p.180544-180557 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3028281 ;CODEN: IAECCGFull text available |
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Stacking Ensemble Learning for Short-Term Electricity Consumption ForecastingEnergies (Basel), 2018-04, Vol.11 (4), p.949 [Peer Reviewed Journal]Copyright MDPI AG 2018 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en11040949Full text available |
7 |
Material Type: Article
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Separation and concentration of rare earth elements from wastewater using electrodialysis technologySeparation and purification technology, 2021, Vol.254 [Peer Reviewed Journal]ISSN: 1873-3794 ;ISSN: 1383-5866 ;EISSN: 1873-3794 ;DOI: 10.1016/j.seppur.2020.117442Digital Resources/Online E-Resources |
8 |
Material Type: Article
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Comprehensive Energy Consumption Model for Unmanned Aerial Vehicles, Based on Empirical Studies of Battery PerformanceIEEE access, 2018, Vol.6, p.58383-58394 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2875040 ;CODEN: IAECCGFull text available |
9 |
Material Type: Article
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Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTMApplied sciences, 2019-10, Vol.9 (20), p.4237 [Peer Reviewed Journal]2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9204237Full text available |
10 |
Material Type: Article
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Wireless Powered Cooperation-Assisted Mobile Edge ComputingIEEE transactions on wireless communications, 2018-04, Vol.17 (4), p.2375-2388 [Peer Reviewed Journal]ISSN: 1536-1276 ;EISSN: 1558-2248 ;DOI: 10.1109/TWC.2018.2794345 ;CODEN: ITWCAXDigital Resources/Online E-Resources |
11 |
Material Type: Article
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Detecting anomalous energy consumption using contextual analysis of smart meter dataWireless networks, 2021-08, Vol.27 (6), p.4275-4292 [Peer Reviewed Journal]Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Wireless Networks is a copyright of Springer, (2019). All Rights Reserved. ;Springer Science+Business Media, LLC, part of Springer Nature 2019. ;ISSN: 1022-0038 ;EISSN: 1572-8196 ;DOI: 10.1007/s11276-019-02074-8Full text available |
12 |
Material Type: Article
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Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM NetworksIEEE access, 2020, Vol.8, p.123369-123380 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2019.2963045 ;CODEN: IAECCGFull text available |
13 |
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Game-Based Adaptive FLOPs and Partition Point Decision Mechanism With Latency and Energy-Efficient Tradeoff for Edge IntelligenceIEEE transactions on computers, 2024-04, Vol.73 (4), p.1099-1113 [Peer Reviewed Journal]ISSN: 0018-9340 ;EISSN: 1557-9956 ;DOI: 10.1109/TC.2024.3354033 ;CODEN: ITCOB4Digital Resources/Online E-Resources |
14 |
Material Type: Article
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Silicon Nitride in Silicon PhotonicsProceedings of the IEEE, 2018-12, Vol.106 (12), p.2209-2231 [Peer Reviewed Journal]ISSN: 0018-9219 ;EISSN: 1558-2256 ;DOI: 10.1109/JPROC.2018.2861576 ;CODEN: IEEPADDigital Resources/Online E-Resources |
15 |
Material Type: Article
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Fine-Grained Energy Consumption Model of Servers Based on Task Characteristics in Cloud Data CenterIEEE access, 2018-01, Vol.6, p.27080-27090 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2732458 ;CODEN: IAECCGFull text available |
16 |
Material Type: Article
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Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart BuildingSensors (Basel, Switzerland), 2020-05, Vol.20 (9), p.2668 [Peer Reviewed Journal]2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20092668 ;PMID: 32392858Full text available |
17 |
Material Type: Article
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Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter DataSensors (Basel, Switzerland), 2020-02, Vol.20 (3), p.873 [Peer Reviewed Journal]2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20030873 ;PMID: 32041362Full text available |
18 |
Material Type: Article
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A comparison of energy consumption in bulk forming, subtractive, and additive processes: Review and case studyInternational journal of precision engineering and manufacturing-green technology, 2014-07, Vol.1 (3), p.261-279ISSN: 2288-6206 ;EISSN: 2198-0810 ;DOI: 10.1007/s40684-014-0033-0Full text available |
19 |
Material Type: Article
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Comparison of the Device Lifetime in Wireless Networks for the Internet of ThingsIEEE access, 2017, Vol.5, p.7097-7114 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2017.2688279 ;CODEN: IAECCGFull text available |
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Material Type: Article
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The Effect of Renewable Energy Consumption on Sustainable Economic Development: Evidence from Emerging and Developing EconomiesEnergies (Basel), 2019-07, Vol.12 (15), p.2954 [Peer Reviewed Journal]2019. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en12152954Full text available |