Comparison of execution times (in seconds) for six models: Bi-level, NARX, LSTM-GA, LSTM, MI-ANN, and AFC-ANN. by Nasir Nauman (22272299)

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Hourly electricity price patterns for different seasons in 2024 (USD/MWh). by Nasir Nauman (22272299)

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Comparison of forecasting errors for ISO-NE. by Nasir Nauman (22272299)

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Evolution of GA-LSTM training errors across epochs. by Nasir Nauman (22272299)

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Load prediction for October 1, 2024, ISO NE: Actual vs predicted by different models. by Nasir Nauman (22272299)

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Impact of Wind Speed on Price and Load. by Nasir Nauman (22272299)

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Comparison of forecasting models concerning MAPE, convergence speed, noise sensitivity, error management, and computational efficiency. by Nasir Nauman (22272299)

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Temperature and wind speed time series over 2400 hours. by Nasir Nauman (22272299)

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(HSCRC) encoding scheme. by R. Sakthivel (2589547)

“…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …”

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx by Xuehui Fan (10762662)

Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 8_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 6_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 3_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 4_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. …”