A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment

Coelho, Vitor N.; Coelho, Igor Machado; Coelho, Vitor Nazário; Reis, Amanda Maria Sena; Enayatifar, Rasul; Souza, Marcone Jamilson Freitas; Guimarães, Frederico Gadelha

doi:10.1016/j.apenergy.2016.02.045

Cited by 89 publications

(26 citation statements)

References 66 publications

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“…Coelho et al [132] followed their ideas and idealized a power dispatching model, in a microgrid community scenario, with PEVs. In their work, a hybrid forecasting model [133] was used in order to generate probabilistic forecasts, which are more indicated for dealing with RER prediction. This field of smart energy scheduling in MG still request more attention for the next years.…”

Section: Applications For Allowing Mini/microgrid Autonomymentioning

confidence: 99%

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

et al. 2017

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Section: Applications For Allowing Mini/microgrid Autonomymentioning

confidence: 99%

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

et al. 2017

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“…27 The parameter optimization of the model is carried out by a bio-inspired optimizer. 27 The parameter optimization of the model is carried out by a bio-inspired optimizer.…”

Section: Load Forecastingmentioning

confidence: 99%

“…A hybrid evolutionary fuzzy model with parameter optimization is used for load forecasting in Coelho. 27 The parameter optimization of the model is carried out by a bio-inspired optimizer. Real data from electric utilities extracted from literature are used to validate the methodology.…”

Section: Load Forecastingmentioning

confidence: 99%

A review on the features and technologies for energy efficiency of smart grid

Anjana¹,

Shaji

2017

Int J Energy Res

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Summary In today's world striving for efficiency in every sector, especially power generation and distribution, smart grids emerge as the solution for efficiently meeting the increasing demand. They adjust themselves to optimally deliver energy at the lowest cost and highest quality possible. The grid successfully makes use of renewable energy resources, electric vehicles, and smart pricing techniques in its attempt to achieve energy efficiency. It also promotes a greener environment by striving to reduce greenhouse gas emissions. Information communication technology (ICT) helps the grid in collecting consumption data from the consumers and in sharing tariff information. ICT also helps to gather information about the status of the grid with regard to aspects like power quality, faults etc. The purpose of this paper is to review recent literature with a view to comprehensively present the technologies employed in the smart grid for achieving energy efficiency and the challenges involved therein.

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“…The recent development of smart grid [1,2] and distributed energy may provide an ultimate solution to the global energy crisis and sustainable development of the modern society. This drives the current energy management system (EMS) [3,4] to evolve from a centralized coordinated control into a decentralized autonomous control.…”

Section: Introductionmentioning

confidence: 99%

A wolf pack hunting strategy based virtual tribes control for automatic generation control of smart grid

Yang

et al. 2016

Applied Energy

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A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment

Cited by 89 publications

References 66 publications

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

A review on the features and technologies for energy efficiency of smart grid

A wolf pack hunting strategy based virtual tribes control for automatic generation control of smart grid

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