Results 121 to 130 of about 9,438,398 (307)

Knowledge implies time/space efficiency [PDF]

, 2007
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.Includes bibliographical references (p.
Valiant, Paul (Paul Andrew)
core  

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

An approach to estimating distribution network losses: Clustering to overcome the challenge of load uncertainty and measurement error

Array
Accurate estimation of energy losses in distribution networks remains challenging due to uncertain and time-varying consumer load profiles and measurement errors in smart-meter data. This paper proposes a robust and data-driven framework for distribution-
Morsal Salehi, Mohammad Mahdi Rezaei, Shahrokh Shojaeian, Maryam Sharifdoust   +3 more
doaj   +1 more source

The efficient exploitation of photovoltaic electricity

Solar Cells, 1985
Abstract Due to the continued growth and application of photovoltaic (PV) electric generators, studies have been pursued regarding the efficient exploitation of such electricity, when the generator is directly connected to the battery storage. Many high power systems can be exploited on a seasonal basis; however, a maximum power point tracking (MPPT)
openaire   +2 more sources

National Action Plan for Energy Efficiency [PDF]

, 2006
This report presents policy recommendations for creating a national commitment to energy efficiency through gas and electric utilities, utility regulators, and partner ...
National Action Plan for Energy Efficiency (U.S.)
core  

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source

Optimization of air-conditioning energy consumption under comfort constraints considering approximate radiant temperature

Case Studies in Thermal Engineering
In this paper, a novel optimal scheme for air conditioning systems is proposed, focusing on energy-saving optimization while human thermal comfort constraints are ensured. First, regarding the calculation of the radiant temperature of building envelopes,
Shuchang Qi, Shiyu Zhou, Cungen Liu, Xiaoping Liu   +3 more
doaj   +1 more source

Towards the efficiency limit of visible LEDs

, 2017
Thesis: S.M. in Electrical Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.This electronic version was submitted by the student author.
Xue, Jin, Ph. D. Massachusetts Institute of Technology
core  

Electrical efficiency of induction contour hardening systems

, 2021
The paper deals with the mathematical modeling of induction contour hardening of gear wheels. Uniformity criteria of obtained contour profile are discussed.
Barglik, Jerzy, Smagór, Adrian, Smalcerz, Albert   +2 more
core  

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source