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A Decision-Making Auction Algorithm for Demand Response in Microgrids
Distributed energy resources installed in the residential areas enable energy consumers to participate in the demand response of distribution systems. In the literature, the algorithms used for the decision-making process ...
Data-Driven Reduced Order Model for Prediction of Wind Turbine Wakes
In this paper a new paradigm for prediction of wind turbine wakes is proposed, which is based on a reduced order model (ROM) embedded in a Kalman filter. The ROM is evaluated by means of dynamic mode decomposition performed ...
A Joint Unsupervised Learning and Genetic Algorithm Approach for Topology Control in Energy-Efficient Ultra-Dense Wireless Sensor Networks
Energy efficiency is a key performance metric for ultra-dense wireless sensor networks. In this letter, an unsupervised learning approach for topology control is proposed to prolong the lifetime of ultra-dense wireless ...
Convergence Analysis of MCMC Methods for Subsurface Flow Problems
In subsurface characterization using a history matching algorithm subsurface properties are reconstructed with a set of limited data. Here we focus on the characterization of the permeability field in an aquifer using ...
Dwell Time for Local Stability of Switched Affine Systems with Application to Non-Spiking Neuron Models
For switched systems that switch between distinct globally stable equilibria, we offer closed-form formulas that lock oscillations in the required neighborhood of the equilibria. Motivated by non-spiking neuron models, the ...
A New LMS Algorithm Based Dead-Time Compensation Method for PMSM FOC Drives
This paper presents a new least-mean-square (LMS) algorithm based dead-time compensation method to suppress the current distortion in permanent-magnet synchronous motor (PMSM) field-oriented control (FOC) drives. Compared ...
Many Suspensions, Many Problems: A Review of Self-Suspending Tasks in Real-Time Systems
In general computing systems, a job (process/task) may suspend itself whilst it is waiting for some activity to complete, e.g., an accelerator to return data. In real-time systems, such self-suspension can cause substantial ...
Data Mining with Algorithmic Transparency
In this paper, we investigate whether decision trees can be used to interpret a black-box classifier without knowing the learning algorithm and the training data. Decision trees are known for their transparency and high ...
Holiest Minimum-Cost Paths and Flows in Surface Graphs
Let G be an edge-weighted directed graph with n vertices embedded on an orientable surface of genus g. We describe a simple deterministic lexicographic perturbation scheme that guarantees uniqueness of minimum-cost flows ...
Multi-Objective Bayesian Optimization for Analog/RF Circuit Synthesis
In this paper, a novel multi-objective Bayesian optimization method is proposed for the sizing of analog/RF circuits. The proposed approach follows the framework of Bayesian optimization to balance the exploitation and ...