Results 11 to 20 of about 2,863,040 (292)
Application of deep reinforcement learning in electricity demand response market: Demand response decision-making of load aggregator [PDF]
With the large-scale integration of renewable energy generation, developing the potential of demand response is becoming more and more significant.
Guangda Xu +7 more
doaj +2 more sources
Asymmetric demand responses: a demand system approach [PDF]
Asymmetry is introduced into the Rotterdam model by allowing the income response to depend on whether real income increases or decreases. Price responses, in turn, are asymmetric through the general and specific substitution terms. Analysis of data on food and three other broadly defined goods suggests presence of asymmetry.
Brown, Mark G. +3 more
core +4 more sources
Ground Based Cloud Recognition with an Anchor Free Method
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
doaj +1 more source
Progress in Demand Response and It’s Industrial Applications
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
doaj +1 more source
Demand Response in Buildings: A Comprehensive Overview of Current Trends, Approaches, and Strategies
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
doaj +1 more source
Demand Response Program Implementation Methodology: A Colombian Study Case
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
doaj +1 more source
Prediction of Sepsis in COVID-19 Using Laboratory Indicators
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
doaj +1 more source
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
doaj +1 more source
Scalable Residential Demand Response Management
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
doaj +1 more source
Dynamical demand response method [PDF]
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
doaj +1 more source

