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1
A building energy consumption prediction model based on rough set theory and deep learning algorithms
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A building energy consumption prediction model based on rough set theory and deep learning algorithms

Energy and buildings, 2021-06, Vol.240 [Peer Reviewed Journal]

ISSN: 1872-6178 ;ISSN: 0378-7788 ;DOI: 10.1016/j.enbuild.2021.110886

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2
Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework
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Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

Sensors (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: 32143371

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3
Machine learning for estimation of building energy consumption and performance: a review
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Machine learning for estimation of building energy consumption and performance: a review

Visualization 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/s40327-018-0064-7

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4
Analysis of energy consumption profiles in residential buildings and impact assessment of a serious game on occupants’ behavior
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Analysis of energy consumption profiles in residential buildings and impact assessment of a serious game on occupants’ behavior

Energy 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.2019.05.009

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5
Hybrid CNN-LSTM Model for Short-Term Individual Household Load Forecasting
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Hybrid CNN-LSTM Model for Short-Term Individual Household Load Forecasting

IEEE 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: IAECCG

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6
Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting
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Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting

Energies (Basel), 2018-04, Vol.11 (4), p.949 [Peer Reviewed Journal]

Copyright MDPI AG 2018 ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en11040949

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7
Separation and concentration of rare earth elements from wastewater using electrodialysis technology
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Article
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Separation and concentration of rare earth elements from wastewater using electrodialysis technology

Separation and purification technology, 2021, Vol.254 [Peer Reviewed Journal]

ISSN: 1873-3794 ;ISSN: 1383-5866 ;EISSN: 1873-3794 ;DOI: 10.1016/j.seppur.2020.117442

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8
Comprehensive Energy Consumption Model for Unmanned Aerial Vehicles, Based on Empirical Studies of Battery Performance
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Comprehensive Energy Consumption Model for Unmanned Aerial Vehicles, Based on Empirical Studies of Battery Performance

IEEE 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: IAECCG

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9
Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM
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Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

Applied 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/app9204237

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10
Wireless Powered Cooperation-Assisted Mobile Edge Computing
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Article
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Wireless Powered Cooperation-Assisted Mobile Edge Computing

IEEE 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: ITWCAX

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11
Detecting anomalous energy consumption using contextual analysis of smart meter data
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Detecting anomalous energy consumption using contextual analysis of smart meter data

Wireless 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/s11276-019-02074-8

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12
Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks
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Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks

IEEE 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: IAECCG

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13
Game-Based Adaptive FLOPs and Partition Point Decision Mechanism With Latency and Energy-Efficient Tradeoff for Edge Intelligence
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Article
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Game-Based Adaptive FLOPs and Partition Point Decision Mechanism With Latency and Energy-Efficient Tradeoff for Edge Intelligence

IEEE 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: ITCOB4

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14
Silicon Nitride in Silicon Photonics
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Article
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Silicon Nitride in Silicon Photonics

Proceedings 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: IEEPAD

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15
Fine-Grained Energy Consumption Model of Servers Based on Task Characteristics in Cloud Data Center
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Article
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Fine-Grained Energy Consumption Model of Servers Based on Task Characteristics in Cloud Data Center

IEEE 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: IAECCG

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16
Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building
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Article
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Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building

Sensors (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: 32392858

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17
Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data
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Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data

Sensors (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: 32041362

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18
A comparison of energy consumption in bulk forming, subtractive, and additive processes: Review and case study
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Article
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A comparison of energy consumption in bulk forming, subtractive, and additive processes: Review and case study

International journal of precision engineering and manufacturing-green technology, 2014-07, Vol.1 (3), p.261-279

ISSN: 2288-6206 ;EISSN: 2198-0810 ;DOI: 10.1007/s40684-014-0033-0

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19
Comparison of the Device Lifetime in Wireless Networks for the Internet of Things
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Comparison of the Device Lifetime in Wireless Networks for the Internet of Things

IEEE 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: IAECCG

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20
The Effect of Renewable Energy Consumption on Sustainable Economic Development: Evidence from Emerging and Developing Economies
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Article
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The Effect of Renewable Energy Consumption on Sustainable Economic Development: Evidence from Emerging and Developing Economies

Energies (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/en12152954

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