Elsevier introduces IPP, SNIP & SJR: A new perspective in journal metrics for researchers and publishers

Technology Readiness Levels (TRL) are a method of estimating technology maturity of Critical Technology Elements (CTE) of a program during the acquisition process. They are determine during a Technology Readiness Assessment (TRA) that examines program concepts, technology requirements, and demonstrated technology capabilities. TRL are based on a scale from 1 to 9 with 9 being the most mature technology. The use of TRLs enables consistent, uniform, discussions of technical maturity across different types of technologies.

Oliver Parson, is a research fellow in the Agents, Interaction and Complexity Group within Electronics and Computer Science at the University of Southampton. He is interested in investigating the ways in which machine learning techniques can be used to break down household energy consumption data into individual appliances, also known as Non-intrusive Appliance Load Monitoring (NIALM) or energy disaggregation.

There are plenty of good reasons to give careful consideration to the deployment of VFDs in the mining industry including suitability and cost-effectiveness

Full-Function Web-Enabled Manuscript Submission and Tracking System for Peer Review

Cecati, C. ; Citro, C. ; Siano, P.

The integration of renewable energy systems (RESs) in smart grids (SGs) is a challenging task, mainly due to the intermittent and unpredictable nature of the sources, typically wind or sun. Another issue concerns the way to support the consumers' participation in the electricity market aiming at minimizing the costs of the global energy consumption. This paper proposes an energy management system (EMS) aiming at optimizing the SG's operation. The EMS behaves as a sort of aggregator of distributed energy resources allowing the SG to participate in the open market. By integrating demand side management (DSM) and active management schemes (AMS), it allows a better exploitation of renewable energy sources and a reduction of the customers' energy consumption costs with both economic and environmental benefits. It can also improve the grid resilience and flexibility through the active participation of distribution system operators (DSOs) and electricity supply/demand that, according to their preferences and costs, respond to real-time price signals using market processes. The efficiency of the proposed EMS is verified on a 23-bus 11-kV distribution network.

Sustainable Energy, IEEE Transactions on (Volume:2 , Issue: 4 ) - 2001

Dipartimento di Ingegneria Industriale e dell'Informazione.

ENG: Department of Electrical, Computer and Biomedical Engineering.

Pagina della Facoltà di Ingegneria sul sito principale dell'Università di Pavia.

A single Complementary Metal Oxide Semiconductor (CMOS) image sensor based on 0.35μm process along with its design and implementation is introduced in this paper. The pixel architecture of Active Pixel Sensor (APS) is used in the chip, which comprises a 256×256 pixel array together with column amplifiers, scan array circuits, series interface, control logic and Analog-Digital Converter (ADC). With the use of smart layout design, fill factor of pixel cell is 43%. Moreover, a new method of Dynamic Digital Double Sample (DDDS) which removes Fixed Pattern Noise (FPN) is used. The CMOS image sensor chip is implemented based on the 0.35μm process of chartered by Multi-Project Wafer (MPW). This chip performs well as expected.