Results 251 to 260 of about 2,638,880 (299)

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

Advanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke, Hattie R. Chisnall, Jesus Vazquez Chavez, Ana B. Jorge Sobrido   +3 more
wiley   +1 more source

Experimental study on the evaporation of typical oil spills in the Bohai Sea. [PDF]

RSC Adv
Wang L, Gu XJ, Su K, Zhang HZ, Zhao CT, Zhang L.   +5 more
europepmc   +1 more source

Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing

Advanced Functional Materials, EarlyView.
A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee, Geunyoung Kim, Hwa Young Kim, Do Hoon Kim, Hanchan Song, Huisu Noh, Jungwan Noh, Seungwoo Lee, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +10 more
wiley   +1 more source

Compound extreme events of rapid warming and air pollution driven by foehn over the northern slope of the middle tianshan mountains. [PDF]

Sci Rep
Ayitikan M, Kadeer M, Deng W, Aiding A, Musha Y, He Q, Yang C.   +6 more
europepmc   +1 more source

Intelligent Virtual Sensor Generation Using KL-Divergence- Based Fusion and Deep Generative Learning for Smart Environmental Monitoring. [PDF]

Sensors (Basel)
Khan MA, Khan QW, Faizan M, Kim JE, Ahn IY, Kim DH.   +5 more
europepmc   +1 more source

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Wind Speed Forecasting in Wind Farm

Applied Mechanics and Materials, 2014
Artificial neural network method was used to forecast the wind speed, and two wind speed forecasting models were built based on BP and RBF neural network methods. 24 hours continuous wind speed forecast was conducted for a single wind turbine in wind farm. The results show that the models built are reasonable and have high prediction accuracy.
Hong Peng Liu, Xiao Di Zhang, Hong Sheng Li, Qing Wang   +3 more
openaire   +1 more source

Application of NNT in wind speed forecasting

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010
In this paper several architectures of neural network multilayer artificial are used to forecast mean daily wind speed at a target station. For this purpose, meteorological variables of reference stations are chosen as exogenous inputs. The mean daily wind speed and direction of 88 measuring stations, from 2005 to 2008 were used. From these stations we
José Carlos Palomares Salas, Juan José González de la Rosa, José Gabriel Ramiro Leo, A. Agüera Pérez   +3 more
openaire   +1 more source

Wind speed forecasting with missing values

2017 Seventh International Conference on Information Science and Technology (ICIST), 2017
In this study, a new short term wind speed fore-casting approach, which uses long term past observations, is proposed. The performance assessment of the wind speed forecasting framework is carried out using real data from meteorological stations in Marmara region of Turkey. The data sets are not complete due to equipment failures. The proposed approach
Akçay, Hüseyin, Filik, Tansu
openaire   +2 more sources

Bidding Wind Energy Exploiting Wind Speed Forecasts

IEEE Transactions on Power Systems, 2016
In this paper, we address the problem of determining the optimal day-ahead generation profile for a wind power producer by exploiting wind speed forecasts provided by a meteorological service. In the considered framework, the wind power producer is called to take part in the responsibility of system operation by providing day-ahead generation profiles ...
GIANNITRAPANI, ANTONIO, PAOLETTI, SIMONE, VICINO, ANTONIO, ZARRILLI, DONATO   +3 more
openaire   +2 more sources

Wind speed forecasting using a portfolio of forecasters

Renewable Energy, 2014
This contribution presents the application of a portfolio of forecasters to the problem of wind speed forecasting. This portfolio is created using a single time series and it is based on a number of time series characteristics, previously proposed, and a set of novel time series features.
Mario Graff, Rafael Peña, Aurelio Medina, Hugo Jair Escalante   +3 more
openaire   +1 more source