The present study further explores the fundamental singular solutions for Stokes flow that can be useful constructing over a wide range of free-stream profiles and body shapes. primary singularity is Stokeslet, which associated with point force embedded in flow. From its derivatives other singularities obtained, including rotlets, stresslets, potential doublets higher-order poles derived from them. For treating interior Stokes-flow problems new are introduced; they include Stokeson...

As urban traffic condition is diverse and complicated, applying reinforcement learning to reduce congestion becomes one of the hot promising topics. Especially, how coordinate light controllers multiple intersections a key challenge for multi-agent (MARL). Most existing MARL studies are based on traditional Q-learning, but unstable environment leads poor in complicated dynamic scenarios. In this paper, we propose novel recurrent deep deterministic policy gradient (MARDDPG) algorithm (DDPG)...

A detailed AC OPF-based formulation for procuring, pricing, and settling energy ancillary service in simultaneous auctions by integrated market systems is presented. The paper provides clear definitions of locational marginal prices terms Lagrange multipliers. characteristics the are analyzed especially when economic substitution among services required. also evaluates conditions under which opportunity costs incurred to units that provide services. It particularly shown intuitive belief...

The optimum shape problems considered in this part are for those profiles of a two-dimensional flexible plate time-harmonic motion that will minimize the energy loss under condition fixed thrust and possibly also other isoperimetric constraints. First, movement rigid is completely determined; it necessary first to reduce original singular quadratic form representing regular one lower order, which then tractable by usual variational methods. A favourable range reduced frequency found...

Despite widespread adoption, recommender systems remain mostly black boxes. Recently, providing explanations about why items are recommended has attracted increasing attention due to its capability enhance user trust and satisfaction. In this paper, we propose a co-attentive multi-task learning model for explainable recommendation. Our improves both prediction accuracy explainability of recommendation by fully exploiting the correlations between task explanation task. particular, design an...

This paper proposes a new model of scenario-based security-constrained unit commitment (SCUC) with BESSs. By formulating such as mixed-integer programming (MIP) problem, we can obtain the optimal control strategy units and BESSs to reduce operating cost. To solve this MIP proposed model, propose learning-based approach tackle SCUC problem. The convolutional neural network (CNN)-based algorithm (CNN-SCUC) has two main stages. First, CNN-SCUC trains CNN solutions binary variables corresponding...

Distribution grid agents are obliged to exchange and disclose their states explicitly neighboring regions enable distributed optimal power flow dispatch. However, the contain sensitive information of individual agents, such as voltage current measurements. These measurements can be inferred by adversaries, other participating or eavesdroppers, leading privacy leakage problem. To address issue, we propose a privacy-preserving (OPF) algorithm based on partially homomorphic encryption (PHE)....

This paper proposes novel architectures for spatio-temporal graph convolutional and recurrent neural networks whose structure is inspired by the physics of power systems. The key insight behind our design consists in deriving so-called shift operator (GSO), which cornerstone Graph Convolutional Neural Network (GCN) Recursive (GRN) designs, from flow equations. We demonstrate effectiveness proposed two applications: forecasting grid state finding a stochastic policy foresighted voltage...

A consistent slender-body approximation is developed for the flow past a fish- like body with arbitrary combinations of thickness and low-aspect-ratio fin appendages, but fins confined to plane symmetry body. Attention focused on interaction lifting surfaces thickness, especially dynamics vortex sheets shed from trailing edges. This vorticity convected by (non-lifting) stretched-straight body, departs significantly purely longitudinal orientation conventional lifting-surface theory. Explicit...

A wake model for the free-streamline theory is proposed to treat two-dimensional flow past an obstacle with a or cavity formation. In this approximately described in large by equivalent potential such that along boundary pressure first assumes prescribed constant under-pressure region downstream of separation points (called near-wake) and then increases continuously from given free-stream value infinite strip finite width (the far-wake). Application provides rather smooth continuous...

Alkali-oxygen oxidation of coals to produce high-value benzene polycarboxylic acids (BPCAs) is a potential substitute for the petroleum route in future. However, high amount alkali consumed process stands as significant obstacle practical application this approach. In present work, lignite, chosen raw material, was oxidized at temperatures higher than those reported so far. The results showed that, temperature increased, gradually shortened reaction time and decreased alkali/coal mass ratio...

This paper presents a novel model of voltage source converter (VSC) based energy routers (ERs) in microgrids. The proposed explicitly describes the circuit laws within ERs and captures coupling control variables among AC/DC, DC/DC, DC/AC links. Therefore, possesses unparalleled capabilities operational parameters both AC DC sides ERs. By incorporating such into AC-DC optimal power flow formulation, we not only optimize flows between ERs, but also strategically schedule flexible resources. To...

Abstract Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare mining that turns heterogeneous medical records into structured and actionable information. Here we propose , an algorithmic framework continuous low-dimensional embedding vectors the most common EHR: services, doctors, patients. features hierarchical structure encapsulates different node schemes to cater unique characteristic each entity. To embed employ...

Vehicular ad hoc network (VANET) has become an accessible technology for improving road safety and driving experience, the problems of heterogeneity lack resources it faces have also attracted widespread attention. With development software-defined networking (SDN) multiaccess edge computing (MEC), a variety resource allocation strategies in MEC-enabled networking-based VANET (SDVN) been proposed to solve these problems. However, we note that few work involves situation where SDVN is under...

The effective representation, processing, analysis, and visualization of large-scale structured data over graphs, especially power grids, are gaining a lot attention. So far most the literature considered exclusively real-valued graph signals. However, signals often sparse in Fourier domain, more informative compact representations for them can be obtained using complex envelope their spectral components, as opposed to original This is case AC carrier, motivates its phasor representation....

The California ISO is in the process of migrating from a decentralized and zonal based market system to centralized nodal system. This an effort motivated by standard design proposed U.S. federal energy regulatory commission operational problems encountered over past five years using zonal-based model. paper explains why has decided move perspective.

The effect of the free surface on pressure distribution upper side a shallow-running hydrofoil is considered from general point view. Previous theoretical and experimental work reviewed in order to compare range flow variables for which each treatment proximity problem valid. A qualitative expression developed. This result shows relative importance pertinent parameters, it shown agree qualitatively with previous experiments as well new measurements made water tunnel. foregoing considerations...