Use of Machine Learning Technologys for the Electric Consumption Forecast-Reference-Cited by-同舟云学术

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Use of Machine Learning Technologys for the Electric Consumption Forecast

Published:2018-09 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)
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Author:

Medykovskvi Mvkola,Pavliuk Olena,Sydorenko Roman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8509220/8526581/08526617.pdf?arnumber=8526617

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. A Novel Methodology Based on a Deep Neural Network and Data Mining for Predicting the Segmental Voltage Drop in Automated Guided Vehicle Battery Cells;Electronics;2023-11-13

3. A cascade ensemble-learning model for the deployment at the edge: case on missing IoT data recovery in environmental monitoring systems;Frontiers in Environmental Science;2023-10-26

4. An approach towards AGV battery cell voltage prediction using DL and data pre-processing;2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT);2023-10-19

5. An Approximation Cascade Scheme via Rational Fractions for Biomedical Data Analysis;2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT);2023-10-19

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