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Application of deep reinforcement learning in electricity demand response market: Demand response decision-making of load aggregator [PDF]
MethodsXWith the large-scale integration of renewable energy generation, developing the potential of demand response is becoming more and more significant.
Guangda Xu +7 more
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Ground Based Cloud Recognition with an Anchor Free Method
Journal of Harbin University of Science and Technology, 2023 Accurate recognition of cloud type is helpful to improve the forecasting accuracy of photovoltaic power production. In order to solve the problems of cloud type recognition of the ground-based cloud such as complex target candidate box selection and ...
LI Yichao +5 more
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Progress in Demand Response and It’s Industrial Applications
Frontiers in Energy Research, 2021 Achieving energy flexibility is becoming a key concern for energy system planners that manage intermittent and variable generations. Industries have enormous potential to deliver large-scale energy flexibility through demand response (DR) programs.
S. M. Shahnewaz Siddiquee +4 more
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Demand Response in Buildings: A Comprehensive Overview of Current Trends, Approaches, and Strategies
Buildings, 2023 Power grids in the 21st century face unprecedented challenges, including the urgent need to combat pollution, mitigate climate change, manage dwindling fossil fuel reserves, integrate renewable energy sources, and meet greater energy demand due to higher
Ruzica Jurjevic, Tea Zakula
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Prediction of Sepsis in COVID-19 Using Laboratory Indicators
Frontiers in Cellular and Infection Microbiology, 2021 BackgroundThe outbreak of coronavirus disease 2019 (COVID-19) has become a global public health concern. Many inpatients with COVID-19 have shown clinical symptoms related to sepsis, which will aggravate the deterioration of patients’ condition.
Guoxing Tang +11 more
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Demand Response Program Implementation Methodology: A Colombian Study Case
TESEA, Transactions on Energy Systems and Engineering Applications, 2022 The industrialization and urbanization are responsible for Greenhouse Gas (GHG) emissions and could generate energy shortage problems. The application of Demand Response (DR) programs enables the user to be empowered towards a conscious consumption of ...
Juan D. Molina +4 more
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Energies, 2020 The development of powered electronic technology has made many aware of the design and control of ship power systems (SPSs), and has made medium voltage DC (MVDC) architecture the main research direction in the future.
Wenzeng Du +4 more
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Scalable Residential Demand Response Management
IEEE Access, 2021 In this paper, a scalable framework based on a hierarchical architecture for residential demand response (DR) is introduced. The architecture, which overlays the physical hierarchy of the power system, allows to decompose the problem and solve it in a ...
Pramod Herath +1 more
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Dynamical demand response method [PDF]
EAI Endorsed Transactions on Energy Web, 2019 In this paper authors suggest method of dynamic demand response to consumers of the municipal sector. The electrical grid scheme with adjustments for the application of the dynamic demand response method is described.
Viktor Filimonov +2 more
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Demand Response in Smart Grids
Energies, 2023 The Special Issue “Demand Response in Smart Grids” includes 10 papers [...]
Pedro Faria, Zita Vale
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