Natural gas load forecasting with combination of adaptive neural networks-Reference-Cited by-同舟云学术

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Natural gas load forecasting with combination of adaptive neural networks

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Container-title:IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)
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Author:

Khotanzad A.,Elragal H.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6674/17953/00830812.pdf?arnumber=830812

Cited by 17 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. From traditional to modern methods: Comparing and introducing the most powerful model for forecasting the residential natural gas demand;Energy Reports;2022-11

2. Using artificial intelligence models and degree-days method to estimate the heat consumption evolution of a building stock until 2050: A case study in a temperate climate of the Northern part of Europe;Cleaner and Responsible Consumption;2022-06

3. Modeling unaccounted-for gas among residential natural gas consumers using a comprehensive fuzzy cognitive map;Utilities Policy;2021-10

4. Forecasting Natural Gas Production and Consumption in United States-Evidence from SARIMA and SARIMAX Models;Energies;2021-09-22

5. Natural gas consumption forecasting: A discussion on forecasting history and future challenges;Journal of Natural Gas Science and Engineering;2021-06

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