Use of Artificial Neural Networks for Short Term Load Forecasting-Reference-Cited by-同舟云学术

Use of Artificial Neural Networks for Short Term Load Forecasting

Published:2021-11-26 Issue: Volume: Page:
ISSN:
Container-title:25th Pan-Hellenic Conference on Informatics
language:
Short-container-title:

Author:

Arvanitidis Athanasios Ioannis¹,Bargiotas Dimitrios¹

Affiliation:

1. Electrical and Computer Engineering, University of Thessaly, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503823.3503827

Reference18 articles.

1. Anticipation of minutes-ahead household active power consumption using Gaussian processes

2. An adaptive network-based fuzzy inference system for short-term natural gas demand estimation: Uncertain and complex environments

3. A neural network short term load forecasting model for the Greek power system

4. Artificial neural networks: fundamentals, computing, design, and application

5. Wen-Yeau Chang . 2015. Short-Term Load Forecasting Using Radial Basis Function Neural Network. Journal of Computer and Communications 03 (01 2015 ), 40–45. https://doi.org/10.4236/jcc.2015.311007 Wen-Yeau Chang. 2015. Short-Term Load Forecasting Using Radial Basis Function Neural Network. Journal of Computer and Communications 03 (01 2015), 40–45. https://doi.org/10.4236/jcc.2015.311007

Cited by 2 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. A Quantum Machine Learning Methodology for Precise Appliance Identification in Smart Grids;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10

2. Optimized Data-Driven Models for Short-Term Electricity Price Forecasting Based on Signal Decomposition and Clustering Techniques;Energies;2022-10-25