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[HTML][HTML] Recent advancement in demand side energy management system for optimal energy utilization
To enhance the low reliability of supply that has resulted in an increasingly serious energy
crisis and environmental problems, extensive research on new clean renewable energy and …
crisis and environmental problems, extensive research on new clean renewable energy and …
Novel architecture of energy management systems based on deep reinforcement learning in microgrid
In microgrids, energy management systems (EMS) have been considered essential systems
to optimize energy scheduling, control and operation for reliable power systems …
to optimize energy scheduling, control and operation for reliable power systems …
Comparative Analysis of Control Strategies for Microgrid Energy Management with a Focus on Reinforcement Learning
The depletion of fossil fuel reserves and the urgent need to cut greenhouse gas emissions
are driving a significant shift in the global energy sector. This transformation necessitates …
are driving a significant shift in the global energy sector. This transformation necessitates …
Production Scheduling Identification: An Inverse Optimization Approach for Industrial Load Modeling Using Smart Meter Data
To cost-effectively manage the supply-demand balance of the power system, the flexibility of
industrial users could be harnessed through demand-side response. To minimize the …
industrial users could be harnessed through demand-side response. To minimize the …
MPP-MDA: Multifunctional Privacy-Preserving Multisubset Data Aggregation for AMI Networks
D Sun, S Zhao, W Tao, M Gu, J Lin… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The advanced metering infrastructure (AMI) network allows control center (CC) to collect
residential users' fine-grained electricity usage data every few minutes for energy …
residential users' fine-grained electricity usage data every few minutes for energy …
Optimization strategy of power purchase and sale for electricity retailers in a two-tier market
Against the backdrop of the gradual advancement of China's electricity market reform, the
number of Power Trading Companies in China has been increasing year by year, and as of …
number of Power Trading Companies in China has been increasing year by year, and as of …
LSTN: a linear model of industrial production process for demand response
Industrial production modeling provides operational constraints for industrial users
participating in demand response (DR) programs. Conventional modeling of the production …
participating in demand response (DR) programs. Conventional modeling of the production …
[PDF][PDF] 面向需求响应的电力用户行为建模: 研究现状与应用
陈启鑫， 吕睿可， 郭鸿业， 贾宏杰， 丁一， **… - 电力自动化 …, 2023 - researchgate.net
通过建模理解电力用户行为, 有助于在需求响应中有效引导用户灵活用电,
从而挖掘负荷侧的灵活性. 面向需求响应场景的实际需求, 系统梳理电力用户行为建模的研究 …
从而挖掘负荷侧的灵活性. 面向需求响应场景的实际需求, 系统梳理电力用户行为建模的研究 …
Promoting social behaviour in reducing peak electricity consumption using multi-agent systems
As we transition to renewable energy sources, addressing their inflexibility during peak
demand becomes crucial. It is therefore important to reduce the peak load placed on our …
demand becomes crucial. It is therefore important to reduce the peak load placed on our …
Optimizing Load Profiles for Improved Demand Response: A Comparative Study of Residential and Factory Scenarios
This paper examines the application of optimization techniques in demand side
management (DSM) to optimize electricity consumption and load profiles in residential and …
management (DSM) to optimize electricity consumption and load profiles in residential and …