Short-term electric power load forecasting using random forest and gated recurrent unit
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-021-01376-5.pdf
Reference37 articles.
1. Alkaldy EAH, Albaqir MA, Hejazi MSA (2019) A new load forecasting model considering planned load shedding effect. Int J Energy Sector Manag
2. Almeshaiei E, Soltan H (2011) A methodology for electric power load forecasting. Alex Eng J 50(2):137–144
3. Awoyera P, Akinmusuru J, Krishna AS, Gobinath R, Arunkumar B, Sangeetha G (2020) Model development for strength properties of laterized concrete using artificial neural network principles. In: Soft computing for problem solving. Springer, pp 197–207
4. Chen Y, Kloft M, Yang Y, Li C, Li L (2018) Mixed kernel based extreme learning machine for electric load forecasting. Neurocomputing 312:90–106
5. Chen Y, Xu P, Chu Y, Li W, Wu Y, Ni L, Bao Y, Wang K (2017) Short-term electrical load forecasting using the support vector regression (svr) model to calculate the demand response baseline for office buildings. Appl Energy 195:659–670
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