Search Results - "Machine learning combinatorial algorithms"

Town gas daily load forecasting based on machine learning combinatorial algorithms: A case study in North China

Authors: Peng Xu Yuwei Song Jingbo Du et al.

Source: Chinese Journal of Chemical Engineering. 75:239-252

Prediction of abnormal energy consumption in rail transit based on machine learning combinatorial algorithms

Authors: Jinbing Ha Qiyue Chen

Source: International Conference on Artificial Intelligence and Machine Learning Research (CAIMLR 2024). :17

Fault Recovery Strategy with Net Load Forecasting Using Bayesian Optimized LSTM for Distribution Networks.

Authors: Ding, Zekai Chu, Yundi

Source: Entropy; Sep2025, Vol. 27 Issue 9, p888, 15p

Subject Terms: DEMAND forecasting, ELECTRIC power distribution grids, GENETIC algorithms, RESOURCE allocation, FAULT tolerance (Engineering), ARTIFICIAL neural networks, PARTICLE swarm optimization

A Novel Model for Accurate Daily Urban Gas Load Prediction Using Genetic Algorithms.

Authors: Chen, Xi Wang, Feng Xu, Li et al.

Source: Algorithms; Jun2025, Vol. 18 Issue 6, p347, 16p

Subject Terms: NATURAL gas reserves, NATURAL gas consumption, BUILDING foundations, SOLAR radiation, WIND power, NATURAL gas

Machine learning‐derived peripheral blood transcriptomic biomarkers for early lung cancer diagnosis: Unveiling tumor‐immune interaction mechanisms.

Authors: Li, Xiaohua Li, Xuebing Qin, Jiangyue et al.

Source: Biofactors; Jan/Feb2025, Vol. 51 Issue 1, p1-14, 14p

Subject Terms: LUNG cancer, MACHINE learning, EARLY diagnosis, BIOMARKERS, CANCER cells, TRANSCRIPTOMES, BIOINFORMATICS, BLOOD sampling

Multiple Load Forecasting of Integrated Renewable Energy System Based on TCN-FECAM-Informer.

Authors: Li, Mingxiang Zhang, Tianyi Yang, Haizhu et al.

Source: Energies (19961073); Oct2024, Vol. 17 Issue 20, p5181, 15p

Subject Terms: RECURRENT neural networks, RENEWABLE energy sources, FEATURE extraction, PROBLEM solving, INFORMERS

Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.

Authors: Zaidong Deng Jie Liu Yanxun V. Yu et al.

Source: Frontiers in Immunology; 10/1/2024, p01-22, 22p

Subject Terms: MACHINE learning, TREATMENT effectiveness, RNA sequencing, GENE regulatory networks, TRANSITIONAL cell carcinoma

Failure analysis and control of natural gas pipelines under excavation impact based on machine learning scheme.

Authors: Xu, Duo Chen, Liqiong Yu, Chang et al.

Source: International Journal of Pressure Vessels & Piping. Feb2023, Vol. 201, pN.PAG-N.PAG. 1p.

Subject Terms: *NATURAL gas pipelines, *MACHINE learning, *PIPELINE failures, *FAILURE analysis, *FAILURE mode & effects analysis, *FINITE element method, *MACHINE performance

Mathematical Modeling for Big Data Analytics

Authors: Passent El-Kafrawy Mohamed F. El-Amin

Resource Type: eBook.

Subjects: Big data--Mathematical models

Categories: COMPUTERS / Data Science / General, COMPUTERS / Database Administration & Management