NDLI: EMD–PSO–ANFIS-based hybrid approach for short-term load forecasting in microgrids

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Volume 14 (2020) : Issue 2, Jan

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The Journal of Engineering

EMD–PSO–ANFIS-based hybrid approach for short-term load forecasting in microgrids

Content Provider	IET Digital Library
Author	Semero, Yordanos Kassa Zhang, Jianhua Zheng, Dehua
Abstract	Accurate renewable energy generation and electricity demand forecasting tools constitute an essential part of the energy management system functions in microgrids. This study proposes a hybrid approach for short-term load forecasting in microgrids, which integrates empirical mode decomposition (EMD), particle swarm optimisation (PSO) and adaptive network-based fuzzy inference systems (ANFISs). The proposed technique first employs EMD to decompose the complicated load data series into a set of several intrinsic mode functions (IMFs) and a residue, and PSO algorithm is then used to optimise an ANFIS model for each IMF component and the residue. The final short-term electric load forecast value could be obtained by summing up the prediction results from each component model. The performance of the proposed model is examined using load demand dataset of a case study microgrid in Beijing and is compared with four other forecasting methods using the same dataset. The results show that the proposed approach yielded superior performance for short-term forecasting of microgrid load demand compared with the other methods.
Starting Page	470
Ending Page	475
Page Count	6
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 3, Feb (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0869
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-11-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Network-based Fuzzy Inference System Beijing Distributed Power Generation Electricity Demand Forecasting Tools EMD-PSO-ANFIS-based Hybrid Approach Empirical Mode Decomposition Energy Management System Fuzzy Reasoning Hilbert Transform IMF Integral Transforms Intrinsic Mode Function Load Demand Dataset Series Load Forecasting Microgrid Load Demand Optimisation Technique Particle Swarm Optimisation Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Renewable Energy Generation Short-term Electric Load Forecast Value Short-term Load Forecasting
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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