Accuracy Analysis of Selected Time Series and Machine Learning Methods for Smart Cities based on Estonian Electricity Consumption Forecast-Reference-Cited by-同舟云学术

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Accuracy Analysis of Selected Time Series and Machine Learning Methods for Smart Cities based on Estonian Electricity Consumption Forecast

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
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Author:

Haring Tobias,Ahmadiahangar Roya,Rosin Argo,Korotko Tarmo,Biechl Helmuth

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9153458/9161378/09161690.pdf?arnumber=9161690

Cited by 9 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. Load Consumption Characterization and Tariff Design Based on Data Mining Techniques;Lecture Notes in Electrical Engineering;2024

2. Assessment of Data Acquisition System for Forecasting Temperature and Solar Irradiation;2023 International Conference on Engineering Technology and Technopreneurship (ICE2T);2023-08-15

3. Stochastic Energy Management for Battery Storage System-Based Microgrid Considering Different Forecasting Models;2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2023-06-14

4. A Comprehensive Review of Various Machine Learning Techniques used in Load Forecasting;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2023-05

5. Market Mechanisms and Trading in Microgrid Local Electricity Markets: A Comprehensive Review;Energies;2023-02-22

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