Short term load forecasting in electric power systems: A comparison of ARMA models and extended wiener filtering-Reference-Cited by-同舟云学术

Short term load forecasting in electric power systems: A comparison of ARMA models and extended wiener filtering

Published:1983-01 Issue:1 Volume:2 Page:59-76
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:J. Forecast.

Author:

Caprio U. Di,Genesio R.,Pozzi S.,Vicino A.

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modelling and Simulation

Reference24 articles.

1. ‘A method of prediction for non-stationary processes and its application to the problem of load estimation’, Proc. 2nd IFAC Congress, Basle (1963).

2. , and , ‘Short term prediction of stationary load processes with a correlation function finite sum of exponentials’, Proc. PSCC, Darmstadt (1978).

Cited by 13 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. Improved Grey Wolf Optimization Optimized Temporal Convolutional Networks - Bidirectional Long Short-Term Memory Networks Short-term Electric Load Forecasting Model;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

2. Short-Term Electrical Load Forecasting Based on VMD and GRU-TCN Hybrid Network;Applied Sciences;2022-06-30

3. Short-term Power Load Forecasting Based on Gate Recurrent Unit Network and Cloud Computing Platform;Proceedings of the 4th International Conference on Computer Science and Application Engineering;2020-10-15

4. Forecasting Patient Flows into Emergency Services;Hospital Logistics and e‐Management;2019-10-11

5. Short-Term Bus Load Forecasting Method Based on CNN-GRU Neural Network;Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control;2019-08-08