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Article
Automation & Control Systems
Bo Lyu et al.
Summary: This article introduces an automatic exploration method for efficient portrait parsing models, which can be easily deployed in edge computing or terminal devices. By using multiobjective reinforcement learning and neural architecture search, a balance between resource cost and performance is achieved, resulting in a series of excellent portrait parsing models.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
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Jiahao Zhang et al.
Summary: Cities need constant supply of novel ideas and contributions from all economic sectors to further sustainable development, attracting well-educated graduates to enter metropolitan job markets. The study found that improving water pollution is crucial in enhancing the attractiveness of cities to graduates from Northeast China.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Xuguang Yu et al.
Summary: China is implementing a new power system reform focusing on renewable energy such as hydropower. The study proposes a method based on the information-gap decision theory to address the short-term hydro scheduling problem in the face of upcoming spot market challenges. This method successfully coordinates tasks related to market obligations and bidding under uncertainty, providing robust dispatching results and enhanced profitability through day-ahead market coordination.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Wen-jing Niu et al.
Summary: This paper proposes a practical machine learning model for short-term load prediction based on feature selection and parameter optimization. Experimental results show that the proposed model outperforms several conventional models in short-term load prediction, and the CSA method is an effective tool for determining parameter combinations.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Xin Fang et al.
Summary: This study utilized the random forest method to construct a model for predicting the water quality response to anthropogenic nutrient inputs in Xincun Lagoon. The results showed a non-linear superposition pattern in the intensity of stressors generated by different human activities, with the random forest method being a feasible solution to this phenomenon. The method established in this paper can help identify key pressure sources during the restoration of the lagoon environment to achieve economic and effective outcomes.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Jia Lu et al.
Summary: This study proposes a long-term optimal operation method for cascade hydropower stations considering the uncertainty of multiple variables, aiming to maximize the operator's expected revenue and reduce market operation risks through resource allocation and scheduling strategies. It utilizes a seasonal autoregressive integrated moving average model to handle the time-varying and seasonal characteristics of inflow data, and an uncertain chance-constrained programming approach, along with a developed particle swarm optimization algorithm embedded in a Monte Carlo simulation. Simulation analysis based on actual data from cascaded hydropower stations in Yunnan Province, China, shows that the method can effectively describe uncertainty and correlation between variables, providing insights for long-term optimal operation in a multimarket environment.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Zhihao Chen et al.
Summary: This paper introduces a novel temperature prediction approach based on physics-informed deep learning, utilizing a generative neural network with a mask matrix to generate more refined predictions. Experimental results demonstrate that this approach outperforms the state-of-the-art in temperature prediction.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Wen-jing Niu et al.
Summary: An enhanced harmony search (EHS) method is developed to address the issues of standard harmony search, improving search ability and convergence rate. Applied to numerical optimization and multireservoir operation problems, EHS outperforms existing methods in various cases, showing better results.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Yang Yu et al.
Summary: Reservoir operation is crucial for optimal allocation of water resources, effectively addressing water scarcity and flood disasters. Coordinating stakeholders is key to the smooth operation of multifunctional reservoirs.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Engineering, Civil
Kai Lun Chong et al.
WATER RESOURCES MANAGEMENT
(2020)
Article
Environmental Sciences
Qianyang Wang et al.
