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1
A Compact Pigeon-Inspired Optimization for Maximum Short-Term Generation Mode in Cascade Hydroelectric Power Station
A Compact Pigeon-Inspired Optimization for Maximum Short-Term Generation Mode in Cascade Hydroelectric Power Station
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A Compact Pigeon-Inspired Optimization for Maximum Short-Term Generation Mode in Cascade Hydroelectric Power Station

Sustainability, 2020-02, Vol.12 (3), p.767 [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. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su12030767

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2
Research on Multi-Objective Optimization to the Shape of Air Cushion Surge Tank
Research on Multi-Objective Optimization to the Shape of Air Cushion Surge Tank
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Research on Multi-Objective Optimization to the Shape of Air Cushion Surge Tank

Journal of physics. Conference series, 2023-05, Vol.2508 (1), p.012046 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2508/1/012046

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3
Research on Oil Mist Leakage of Bearing in Hydropower Station: A Review
Research on Oil Mist Leakage of Bearing in Hydropower Station: A Review
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Research on Oil Mist Leakage of Bearing in Hydropower Station: A Review

Energies (Basel), 2022-04, Vol.15 (7), p.2632 [Peer Reviewed Journal]

2022 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 (https://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: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en15072632

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4
Numerical evaluation of a 70-m deep hydropower station foundation pit dewatering
Numerical evaluation of a 70-m deep hydropower station foundation pit dewatering
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Numerical evaluation of a 70-m deep hydropower station foundation pit dewatering

Environmental earth sciences, 2022-07, Vol.81 (14), Article 364 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. ;ISSN: 1866-6280 ;EISSN: 1866-6299 ;DOI: 10.1007/s12665-022-10493-8

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5
A case study of debris flow risk assessment and hazard range prediction based on a neural network algorithm and finite volume shallow water flow model
A case study of debris flow risk assessment and hazard range prediction based on a neural network algorithm and finite volume shallow water flow model
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A case study of debris flow risk assessment and hazard range prediction based on a neural network algorithm and finite volume shallow water flow model

Environmental earth sciences, 2021-04, Vol.80 (7), Article 275 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 1866-6280 ;EISSN: 1866-6299 ;DOI: 10.1007/s12665-021-09580-z

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6
An Optimal Operation Model for Hydropower Stations Considering Inflow Forecasts with Different Lead-Times
An Optimal Operation Model for Hydropower Stations Considering Inflow Forecasts with Different Lead-Times
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An Optimal Operation Model for Hydropower Stations Considering Inflow Forecasts with Different Lead-Times

Water resources management, 2019, Vol.33 (1), p.173-188 [Peer Reviewed Journal]

Springer Nature B.V. 2018 ;Water Resources Management is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-018-2095-1

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7
Study on Influence of Flow Inertia of Pressure Pipe on Critical Stable Sectional Area of Surge Tank
Study on Influence of Flow Inertia of Pressure Pipe on Critical Stable Sectional Area of Surge Tank
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Study on Influence of Flow Inertia of Pressure Pipe on Critical Stable Sectional Area of Surge Tank

Journal of physics. Conference series, 2023-08, Vol.2565 (1), p.12012 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2565/1/012012

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8
Research on Vibration Characteristics of an Underground Powerhouse of Large Pumped-Storage Power Station
Research on Vibration Characteristics of an Underground Powerhouse of Large Pumped-Storage Power Station
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Research on Vibration Characteristics of an Underground Powerhouse of Large Pumped-Storage Power Station

Energies (Basel), 2022-12, Vol.15 (24), p.9637 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 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 (https://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: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en15249637

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9
Mechanism of Splitting Failure for High Sidewall Cavern of Hydropower Station Based on Complex Function and Strain Gradient
Mechanism of Splitting Failure for High Sidewall Cavern of Hydropower Station Based on Complex Function and Strain Gradient
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Mechanism of Splitting Failure for High Sidewall Cavern of Hydropower Station Based on Complex Function and Strain Gradient

Energies (Basel), 2021-09, Vol.14 (18), p.5870 [Peer Reviewed Journal]

2021 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 (https://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: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en14185870

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10
Synergetic control strategy for water hammer wave and mass wave in hydropower station with downstream channel
Synergetic control strategy for water hammer wave and mass wave in hydropower station with downstream channel
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Synergetic control strategy for water hammer wave and mass wave in hydropower station with downstream channel

IEEE access, 2022, Vol.10, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2022.3195172 ;CODEN: IAECCG

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11
LSTM-Based Deformation Prediction Model of the Embankment Dam of the Danjiangkou Hydropower Station
LSTM-Based Deformation Prediction Model of the Embankment Dam of the Danjiangkou Hydropower Station
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LSTM-Based Deformation Prediction Model of the Embankment Dam of the Danjiangkou Hydropower Station

Water (Basel), 2022-08, Vol.14 (16), p.2464 [Peer Reviewed Journal]

2022 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 (https://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: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w14162464

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12
Numerical simulation of landslide-generated waves during the 11 October 2018 Baige landslide at the Jinsha River
Numerical simulation of landslide-generated waves during the 11 October 2018 Baige landslide at the Jinsha River
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Numerical simulation of landslide-generated waves during the 11 October 2018 Baige landslide at the Jinsha River

Landslides, 2020-10, Vol.17 (10), p.2317-2328 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1612-510X ;EISSN: 1612-5118 ;DOI: 10.1007/s10346-020-01382-x

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13
Multi-physical Field Analysis Method for Enclosed Isolated Phase Busbar of Hydropower Station
Multi-physical Field Analysis Method for Enclosed Isolated Phase Busbar of Hydropower Station
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Multi-physical Field Analysis Method for Enclosed Isolated Phase Busbar of Hydropower Station

Journal of physics. Conference series, 2024-03, Vol.2731 (1), p.012004 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published 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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2731/1/012004

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14
Stability Analysis of Jinchuan Hydropower Station Hydraulic Tunnels during Excavation and Unloading
Stability Analysis of Jinchuan Hydropower Station Hydraulic Tunnels during Excavation and Unloading
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Article 		Add to My Research

Stability Analysis of Jinchuan Hydropower Station Hydraulic Tunnels during Excavation and Unloading

Applied sciences, 2022-11, Vol.12 (22), p.11660 [Peer Reviewed Journal]

2022 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 (https://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/app122211660

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15
An Ensemble Modeling Approach to Forecast Daily Reservoir Inflow Using Bidirectional Long- and Short-Term Memory (Bi-LSTM), Variational Mode Decomposition (VMD), and Energy Entropy Method
An Ensemble Modeling Approach to Forecast Daily Reservoir Inflow Using Bidirectional Long- and Short-Term Memory (Bi-LSTM), Variational Mode Decomposition (VMD), and Energy Entropy Method
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Article 		Add to My Research

An Ensemble Modeling Approach to Forecast Daily Reservoir Inflow Using Bidirectional Long- and Short-Term Memory (Bi-LSTM), Variational Mode Decomposition (VMD), and Energy Entropy Method

Water resources management, 2021-07, Vol.35 (9), p.2941-2963 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. 2021 ;The Author(s), under exclusive licence to Springer Nature B.V. 2021. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-021-02879-3

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16
The criterion for dividing the surrounding rock EDZs of underground caverns based on the energy dissipation degree
The criterion for dividing the surrounding rock EDZs of underground caverns based on the energy dissipation degree
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The criterion for dividing the surrounding rock EDZs of underground caverns based on the energy dissipation degree

PloS one, 2023-07, Vol.18 (7), p.e0288324-e0288324 [Peer Reviewed Journal]

Copyright: © 2023 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 Wang et al 2023 Wang et al ;2023 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0288324 ;PMID: 37506066

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17
Analysis and research on sluice gate flow of a hydropower station under different working conditions
Analysis and research on sluice gate flow of a hydropower station under different working conditions
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Analysis and research on sluice gate flow of a hydropower station under different working conditions

IOP conference series. Earth and environmental science, 2022-06, Vol.1037 (1), p.12059 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/1037/1/012059

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18
Layout Scheme Comparison of the Switching Station of Guoduo Hydroelectric Project Based on AHP-TOPSIS
Layout Scheme Comparison of the Switching Station of Guoduo Hydroelectric Project Based on AHP-TOPSIS
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Conference Proceeding 		Add to My Research

Layout Scheme Comparison of the Switching Station of Guoduo Hydroelectric Project Based on AHP-TOPSIS

E3S Web of Conferences, 2023, Vol.385, p.3004 [Peer Reviewed Journal]

2023. This work is licensed under https://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: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202338503004

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19
Improved Convolutional Neural Network and its Application in Non-Periodical Runoff Prediction
Improved Convolutional Neural Network and its Application in Non-Periodical Runoff Prediction
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Improved Convolutional Neural Network and its Application in Non-Periodical Runoff Prediction

Water resources management, 2022-12, Vol.36 (15), p.6149-6168 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-022-03346-3

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20
Numerical simulation of hydraulic transients in hydropower station with complicated water conveyance system
Numerical simulation of hydraulic transients in hydropower station with complicated water conveyance system
Material Type:
Article 		Add to My Research

Numerical simulation of hydraulic transients in hydropower station with complicated water conveyance system

IOP conference series. Earth and environmental science, 2021-06, Vol.774 (1), p.12142 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published 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: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/774/1/012142

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