Results 71 to 80 of about 229,631 (275)
, 2015 In this paper, we use data collected from over 2000 non-residential electric vehicle supply equipments (EVSEs) located in Northern California for the year of 2013 to estimate the potential benefits of smart electric vehicle (EV) charging.
Berges, Mario +5 more
core +2 more sources
Smart Charging for Electric Vehicle Aggregators Considering Users’ Preferences
IEEE Access, 2018 [EN] Most of the road transportation currently depends on fossil fuels, which result in significant environmental and health issues. This is being addressed with the deployment of electric vehicles. However, a massive penetration will lead to new technical and economic challenges for power systems.
Jean-Michel Clairand +2 more
openaire +2 more sources
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
Advanced Engineering Materials, EarlyView.We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
AggregatePD‐1/PD‐L1 inhibitors have emerged as standard treatments for advanced solid tumors; however, challenges such as a low overall response rate and systemic side effects impede their implementation.
Yan Zhang +12 more
doaj +1 more source
Using hidden Markov models for iterative non-intrusive appliance monitoring [PDF]
, 2011 Non-intrusive appliance load monitoring is the process of breaking down a household’s total electricity consumption into its contributing appliances. In this paper we propose an approach by which individual appliances are iteratively separated from the ...
Ghosh, Siddhartha +3 more
core
Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control
, 2015 This paper considers decentralized control and optimization methodologies for large populations of systems, consisting of several agents with different individual behaviors, constraints and interests, and affected by the aggregate behavior of the overall
Colombino, Marcello +3 more
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Microcracking in piezoelectric materials by the Boundary Element Method [PDF]
, 2019 A 3D boundary element model for piezoelectric polycrystalline micro-cracking is discussed in this contribution. The model is based on the boundary integral representation of the electro-mechanical behavior of individual grains and on the use of a ...
Benedetti, I., Gulizzi, V., Milazzo, A.
core
Learning Dynamical Demand Response Model in Real-Time Pricing Program
, 2018 Price responsiveness is a major feature of end use customers (EUCs) that participate in demand response (DR) programs, and has been conventionally modeled with static demand functions, which take the electricity price as the input and the aggregate ...
Mori, Kazuyuki +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source