Results 51 to 60 of about 3,661,069 (207)
In order to facilitate the local sharing of renewable energy, an energy sharing management method of multiple microgrids (MGs) with a battery energy storage system (BESS) and renewable energy sources (RESs) is developed. First, a virtual entity named the
Nian Liu, Jie Wang
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In this study, a new approach for modification of membership functions of a fuzzy inference system (FIS) is demonstrated, in order to serve as a pattern recognition tool for classification of patients diagnosed with multiple sclerosis (MS) from healthy ...
Moussa Mohsenpourian +6 more
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Distributed Reactive Power Regulation Considering Load Voltage and Power Loss
In this study, optimal reactive power regulation in distribution networks is achieved through the use of distributed reactive power regulators that can 1) perceive their own voltage magnitude and the P/Q flows in the connected branches, 2) communicate ...
Lingshu Zhong +4 more
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Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies [PDF]
This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO.
Günay, Akın +6 more
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Accurate detection of epileptic seizures from EEG signals is vital for early diagnosis and treatment of epilepsy. However, EEG signals are inherently nonstationary and noisy, posing significant challenges for classification.
Seyed Matin Malakouti
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Distributed optimization with applications to sensor networks and machine learning [PDF]
This dissertation deals with developing optimization algorithms which can be distributed over a network of computational nodes. Specifically we develop distributed algorithms for the special class when the optimization problem of interest has a separable
Srivastava, Kunal
core
Distributed optimization with arbitrary local solvers [PDF]
With the growth of data and necessity for distributed optimization methods, solvers that work well on a single machine must be re-designed to leverage distributed computation.
Smith, Virginia +6 more
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Communication-Optimal Distributed Clustering [PDF]
A preliminary version of this paper appeared at the 30th Annual Conference on Neural Information Processing Systems (NIPS ...
Jiecao Chen +3 more
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Optimality conditions for distributive justice [PDF]
AbstractThis paper uses optimization theory to address a fundamental question of ethics: how to divide resources justly among individuals, groups, or organizations. It formulates utilitarian and Rawlsian criteria for distributive justice as optimization problems.
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OPTIMAL QUANTIZATION FOR MIXED DISTRIBUTIONS
The basic goal of quantization for probability distribution is to reduce the number of values, which is typically uncountable, describing a probability distribution to some finite set and thus approximation of a continuous probability distribution by a discrete distribution. Mixed distributions are an exciting new area for optimal quantization. In this
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