中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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沈阳自动化研究所 [24]
广州能源研究所 [12]
地理科学与资源研究... [11]
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期刊论文 [61]
学位论文 [10]
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Optimization model for home energy management system of rural dwellings
期刊论文
OAI收割
ENERGY, 2023, 卷号: 283
作者:
Huang, Zhijia
;
Wang, Fang
;
Lu, Yuehong
;
Chen, Xiaofeng
;
Wu, Qiqi
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/11/10
Flexible load
Home energy management system
Renewable energy
Genetic algorithm
Load scheduling
Potential of technological innovation to reduce the carbon footprint of urban facility agriculture: A food-energy-water-waste nexus perspective
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 卷号: 339, 页码: 117806
作者:
Wang, Chao
;
Chen, Yu
;
Sun, Mingxing
;
Wu, Jiayu
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/06/10
Urban facility agriculture
Carbon footprint
Technological innovation
Food -energy -water -waste nexus
System dynamic modeling
Future hotter summer greatly increases residential electricity consumption in Beijing: A study based on different house layouts and shared socioeconomic pathways
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2023, 卷号: 91, 页码: 104453
作者:
Hu, Qiyuan
;
Tang, Jiayue
;
Gao, Xiang
;
Wang, Sijia
;
Zhang, Dan
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/01/04
Climate change
House layouts
Residential electricity consumption
Extreme hot days
Shared socioeconomic pathways
A Novel Stackelberg-Game-Based Energy Storage Sharing Scheme Under Demand Charge
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 462-473
作者:
Bingyun Li
;
Qinmin Yang
;
Innocent Kamwa
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/01/16
Bi-level optimization
demand charge
energy storage system (ESS) sharing
energy transaction
mathematical program with equilibrium constraints (MPEC)
stackelberg game
Effective removal of dissolved silica from white carbon black wastewater by iron electrode electrocoagulation: Process optimization and simulation
期刊论文
OAI收割
JOURNAL OF WATER PROCESS ENGINEERING, 2022, 卷号: 47, 页码: 9
作者:
Liu, Minghui
;
Ma, Shuang
;
Wang, Xi
;
Wang, Mingmei
;
Zhao, Yutong
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/02/24
White carbon black
Dissolved silica
Electrocoagulation
Orthogonal design optimization
Numerical simulation
Emergy theory to quantify the sustainability of large cascade hydropower projects in the upper Yangtze
期刊论文
OAI收割
ECOLOGICAL MODELLING, 2022, 卷号: 468, 页码: 12
作者:
Du, Hailong
;
Yang, Liu
;
Wang, Wenzhong
;
Lu, Lunhui
;
Li, Zhe
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/08/22
Emergy analysis
Development scale
Large hydropower
Environmental sustainability
Peak shaving benefit assessment considering the joint operation of nuclear and battery energy storage power stations: Hainan case study
期刊论文
OAI收割
ENERGY, 2022, 卷号: 239
作者:
Chen, Xiaojiao
;
Huang, Liansheng
;
Liu, Junbo
;
Song, Dongran
;
Yang, Sheng
  |  
收藏
  |  
浏览/下载:81/0
  |  
提交时间:2021/11/01
Battery energy storage
Nuclear power station
Peak shaving
Economic indicator
Sensitive analysis
Price-Based Residential Demand Response Management in Smart Grids: A Reinforcement Learning-Based Approach
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 123-134
作者:
Yanni Wan
;
Jiahu Qin
;
Xinghuo Yu
;
Tao Yang
;
Yu Kang
  |  
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2021/11/03
Demand response management (DRM)
Markovian decision process (MDP)
Monte Carlo simulation
reinforcement learning (RL)
smart grid
Cloud Computing Based Demand Response Management using Deep Reinforcement Learning
期刊论文
OAI收割
IEEE Transactions on Cloud Computing, 2022, 卷号: 10, 期号: 1, 页码: 72-81
作者:
Song CH(宋纯贺)
;
Han GJ(韩光洁)
;
Zeng P(曾鹏)
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/12/05
Demand response
cloud computing
load aggregator
water heater
deep reinforcement learning
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
期刊论文
OAI收割
ENERGY, 2022, 卷号: 238, 页码: 14
作者:
Yang, Wendong
;
Sun, Shaolong
;
Hao, Yan
;
Wang, Shouyang
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/04/02
Electricity price
Forecasting
Hybrid model
Model selection
Kernel-based extreme learning machine