Mid‐term electricity load forecasting by a new composite method based on optimal learning MLP algorithm-Reference-Cited by-同舟云学术

Mid‐term electricity load forecasting by a new composite method based on optimal learning MLP algorithm

Published:2020-01-30 Issue:5 Volume:14 Page:845-852
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Askari Mostafa¹,Keynia Farshid¹^ORCID

Affiliation:

1. Department of Energy Management and OptimizationInstitute of Science and High Technology and Environmental Sciences, Graduate University of Advanced TechnologyKermanIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2019.0797

Reference36 articles.

1. Forecasting the load of electrical power systems in mid‐ and long‐term horizons: a review

2. Mid-term load forecasting of power systems by a new prediction method

3. Neural networks for short-term load forecasting: a review and evaluation

4. A hybrid dynamic and fuzzy time series model for mid-term power load forecasting

5. A tutorial on support vector regression

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