Results 111 to 120 of about 13,863,573 (246)

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

open access: yesAdvanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang   +10 more
wiley   +1 more source

Energy market reforms to facilitate new technologies

open access: yes, 2016
The Clean Energy Council believes energy market reform should prioritise the following initiatives: • Accelerate the transition to a cleaner energy sector by overcoming conflict between institutions and ensuring that the National Energy Objectives ...
Clean Energy Council
core  

Hybrid local energy markets in Japan: assessing the impact of regional renewable energy integration, demand flexibility, and consumer behavior

open access: yesEnergy Conversion and Management: X
The increasing penetration of distributed energy resources is transforming conventional power systems, necessitating innovative market structures to enhance energy efficiency, reduce grid dependency, and improve economic sustainability.
Mehran Moradi, Hooman Farzaneh
doaj   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

open access: yesAdvanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan   +8 more
wiley   +1 more source

Review and prospect of P2P energy trading market mechanism and strategy optimization

open access: yesZhongguo dianli
Peer-to-peer (P2P) energy trading can encourage prosumers to carry out local energy trading, and guide user-side resources including distributed energy resources (DERs), energy storage, electric vehicles (EVs) and flexible loads to participate in supply ...
Jiehui ZHENG   +5 more
doaj   +1 more source

Clean energy Australia report 2014 [PDF]

open access: yes, 2015
The review of the Renewable Energy Target (RET), which was announced in February 2014 and continued beyond the end of the year, essentially froze new investment in large-scale renewable energy in Australia last year.
Clean Energy Council
core  

Unveiling a Near‐Total Rear Passivation for High Performance of Ultra‐Thin ACIGS

open access: yesAdvanced Science, EarlyView.
Ultra‐thin solar cells of (Ag,Cu)(In,Ga)Se2 (ACIGS) suffer from rear interface recombination, limiting their performance. To tackle it, a full coverage plasma enhanced chemically vapor‐deposited 8 nm porous SiOx passivation layer was implemented and evaluated. It is shown that a combination of the near‐complete passivation from silica and the formation
Xavier L. Pinheiro   +7 more
wiley   +1 more source

Hydrogen Integration in Future Local Energy Markets

open access: yesEnergies
Local energy markets (LEMs) are increasingly promoted as coordinated market frameworks for distributed electricity resources in low-carbon-level energy systems.
Pratik Mochi
doaj   +1 more source

Technology roadmap: solar photovoltaic energy - 2014 edition [PDF]

open access: yes, 2014
Solar power enhances energy diversity and hedges against price volatility of fossil fuels, thus stabilising costs of electricity generation in the long term, argues this report.

core  

Translational Barriers and AI‐Driven Challenges of Microfluidics‐Enabled Wearables and Implantable Systems in Personalized Medicine

open access: yesAdvanced Science, EarlyView.
An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang   +3 more
wiley   +1 more source

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