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Design of Neural Network Based Wind Speed Prediction Model Using GWO

Computer Systems Science & Engineering 2022年第2期40卷 593-606页

作者： r.Kingsy Grace r.manimegalai Department of Computer Science and Engineering Sri Ramakrishna Engineering CollegeCoimbatore641022India Department of Computer Science and Engineering PSG Institute of Technology and Applied ResearchCoimbatore641062India

The prediction of wind speed is imperative nowadays due to the increased and effective generation of wind *** power is the clean,free and conservative renewable *** is necessary to predict the wind speed,to implement wind power *** paper proposes a new model,named WT-GWO-BPNN,by integrating Wavelet Transform(WT),Back Propagation Neural Network(BPNN)and GreyWolf Optimization(GWO).The wavelet transform is adopted to decompose the original time series data(wind speed)into approximation and detailed ***-BPNN is applied to predict the wind *** is used to optimize the parameters of back propagation neural network and to improve the convergence *** work uses wind power data of six months with 25,086 data points to test and verify the performance of the proposed *** proposed work,WT-GWO-BPNN,predicts the wind speed using a three-step procedure and provides better *** Absolute Error(MAE),Mean Squared Error(MSE),Mean absolute percentage error(MAPE)and root mean squared error(rMSE)are calculated to validate the performance of the proposed *** results demonstrate that the proposed model has better performance when compared to other methods in the literature.

关键词： Wind speed wavelet transform back propagation neural network grey wolf optimization time series

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Design of Low Power Transmission Gate Based 9T SrAM Cell

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Computers, Materials & Continua 2022年第7期72卷 1309-1321页

作者： S.rooban Moru Leela Md.Zia Ur rahman N.Subbulakshmi r.manimegalai Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGunturAndhra Pradesh522502India Department of Electronics and Communication Engineering Francis Xavier Engineering CollegeTirunelveliTamil Nadu627003India Department of Computer Science and Engineering PSG Institute of Technology and Applied ResearchCoimbatoreTamil Nadu641062India

Considerable research has considered the design of low-power and high-speed *** integrated circuits with low-power consumption is an important issue due to the rapid growth of high-speed *** static random-access memory(SrAM)units are necessary components in fast mobile *** SrAM cells are more energyconsuming and with lower *** major constraints in SrAM cells are their reliability and low *** objectives of the proposed method are to provide a high read stability,low energy consumption,and better writing abilities.A transmission gate-based multi-threshold single-ended Schmitt trigger(ST)9T SrAM cell in a bit-interleaving structure without a write-back scheme is ***,an ST inverter with a single bit-line design is used to attain the high read stability.A negative assist technique is applied to alter the trip voltage of the single-ended ST *** multithreshold complementary metal oxide semiconductor(MTCMOS)technique is adopted to reduce the leakage power in the proposed single-ended TGST 9T SrAM *** proposed system uses a combination of standard and ST inverters,which results in a large read *** with the previous ST 9T,ST 11T,11T,10T,and 7T SrAM cells,the proposed cell is implemented in Cadence Virtuoso ADE with 45-nm CMOS technology and consumes 35.80%,42.09%,31.60%,12.54%,and 31.60%less energy for read operations and 73.59%,93.95%,92.76%,89.23%,and 85.78%less energy for write operations,respectively.

关键词： Bit-interleaving low power SrAM cell schmitt trigger transmission gate

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