Results 161 to 170 of about 678,547 (301)

Machine learning long-term electricity demand forecasting system for strategic energy investments. [PDF]

Sci Rep
Haggag M, Abdelhady K, Guirguis M, Saudy M, Dakhakhni WE.   +4 more
europepmc   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Demand Response in Industrial Facilities: Peak Electric Demand [PDF]

, 2022
Paulomi Nandy, Alex Botts, Thomas Wenning, Eli Levine   +3 more
openaire   +2 more sources

Probabilistic day-ahead forecasting of system-level renewable energy and electricity demand. [PDF]

Nat Commun
Terrén-Serrano G, Deshmukh R, Martínez-Ramón M.   +2 more
europepmc   +1 more source

Author Correction: Heterogeneous climate change impacts on electricity demand in world cities circa mid-century. [PDF]

Sci Rep, 2022
Romitti Y, Sue Wing I.
europepmc   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Retraction Note: Forecasting for electricity demand utilizing enhanced inception-V4 using improved Osprey optimization. [PDF]

Sci Rep
Chen S, Fang X, Khayatnezhad M.
europepmc   +1 more source

Multiscale effects masked the impact of the COVID-19 pandemic on electricity demand in the United States. [PDF]

Appl Energy, 2021
Burleyson CD, Rahman A, Rice JS, Smith AD, Voisin N.   +4 more
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Multi-temporal dimension prediction of new energy electricity demand based on chaos-LSSVM neural network. [PDF]

Sci Rep
Wu Y, Wang W, Ma X, Zhao R, Wu B, Chen P, An Q.   +6 more
europepmc   +1 more source