A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting

A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting

Effective and reliable load forecasting is an important basis for power system planning and operation decisions. Its forecasting accuracy directly affects the safety and economy of the operation of the power system. However, attaining the desired point forecasting accuracy has been regarded as a cha...

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Bibliographic Details
Main Authors: Jiyang Wang, Yuyang Gao, Xuejun Chen
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Energies
Subjects:
short-term load forecasting
interval prediction
lower upper bound estimation
artificial intelligence
multi-objective optimization algorithm
data preprocessing
Online Access:http://www.mdpi.com/1996-1073/11/6/1561

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http://www.mdpi.com/1996-1073/11/6/1561

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