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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Renewable & sustainable energy reviews, 2015-10, Vol.50, p.1352-1372

2015

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An Ensemble Framework for Day-Ahead Forecast of PV Output Power in Smart Grids

IEEE transactions on industrial informatics, 2019-08, Vol.15 (8), p.4624-4634

2019

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RoCoF Restrictive Planning Framework and Wind Speed Forecast Informed Operation Strategy of Energy Storage System

IEEE transactions on power systems, 2021-01, Vol.36 (1), p.224-234

2021

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Dynamic Data Injection Attack Detection of Cyber Physical Power Systems With Uncertainties

IEEE transactions on industrial informatics, 2019-10, Vol.15 (10), p.5505-5518

2019

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Multivariate Ensemble Forecast Framework for Demand Prediction of Anomalous Days

IEEE transactions on sustainable energy, 2020-01, Vol.11 (1), p.27-36

2020

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On recent advances in PV output power forecast

Solar energy, 2016-10, Vol.136, p.125-144

2016

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Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities

Aircraft Engineering and Aerospace Technology, 2016-01, Vol.88 (1), p.137-150

2016

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Demand forecast of PV integrated bioclimatic buildings using ensemble framework

Applied energy, 2017-12, Vol.208, p.1626-1638

2017

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Solar output power forecast using an ensemble framework with neural predictors and Bayesian adaptive combination

Solar energy, 2018-05, Vol.166, p.226-241

2018

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AR-based Algorithms for Short Term Load Forecast

Research Journal of Applied Sciences, Engineering and Technology, 2014-02, Vol.7 (6), p.1223-1229

2014

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UP-Gradation of Power System Protection Scheme through TCP/IP Using GUI

Dian li yu neng yuan, 2012-11, Vol.4 (6), p.392-397

2012

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An intelligent hybrid short-term load forecasting model for smart power grids

Sustainable cities and society, 2017-05, Vol.31, p.264-275

2017

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A multivariate ensemble framework for short term solar photovoltaic output power forecast

2017 IEEE Power & Energy Society General Meeting, 2017, p.1-5

2017

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A Comparative Analysis of Neural Network Based Short Term Load Forecast Models for Anomalous Days Load Prediction

Journal of computers, 2014-07, Vol.9 (7)

2014

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Solar PV Power Forecasting Using Modified SVR with Gauss-Newton Method

2020 2nd Global Power, Energy and Communication Conference (GPECOM), 2020, p.226-231

2020

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Neural Network Based STLF Model to Study the Seasonal Impact of Weather and Exogenous Variables

Research journal of applied sciences, engineering and technology, 2013-11, Vol.6 (20), p.3729-3735

2013

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Demand and Response in Smart Grids for Modern Power System

Smart grid and renewable energy, 2013-05, Vol.4 (2), p.133-136

2013

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Intelligent Load Shedding Using TCP/IP for Smart Grids

Dian li yu neng yuan, 2012-11, Vol.4 (6), p.398-403

2012

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Optimization of neural network architecture using genetic algorithm for load forecasting

2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014, p.1-6

2014

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An improved WT and NN ensemble demand forecast model for PV integrated smart buildings

2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016, p.781-786

2016

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An improved neural ensemble framework for accurate PV output power forecast

2016 Australasian Universities Power Engineering Conference (AUPEC), 2016, p.1-6

2016

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Performance enhancement of IoMT using artificial intelligence algorithms

Security and Privacy Issues in Internet of Medical Things, 2023

2023

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A comparative analysis of PSO and LM based NN short term load forecast with exogenous variables for smart power generation

2014 5th International Conference on Intelligent and Advanced Systems (ICIAS), 2014, p.1-6

2014

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Backstepping control using adaptive neural network for industrial two link robot manipulator

17th IEEE International Multi Topic Conference 2014, 2014, p.389-394

2014

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A hybrid neuro-genetic approach for STLF: A comparative analysis of model parameter variations

2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014), 2014, p.526-531

2014

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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

An Ensemble Framework for Day-Ahead Forecast of PV Output Power in Smart Grids

RoCoF Restrictive Planning Framework and Wind Speed Forecast Informed Operation Strategy of Energy Storage System

Dynamic Data Injection Attack Detection of Cyber Physical Power Systems With Uncertainties

Multivariate Ensemble Forecast Framework for Demand Prediction of Anomalous Days

On recent advances in PV output power forecast

Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities

Demand forecast of PV integrated bioclimatic buildings using ensemble framework

Solar output power forecast using an ensemble framework with neural predictors and Bayesian adaptive combination

AR-based Algorithms for Short Term Load Forecast

UP-Gradation of Power System Protection Scheme through TCP/IP Using GUI

An intelligent hybrid short-term load forecasting model for smart power grids

A multivariate ensemble framework for short term solar photovoltaic output power forecast

A Comparative Analysis of Neural Network Based Short Term Load Forecast Models for Anomalous Days Load Prediction

Solar PV Power Forecasting Using Modified SVR with Gauss-Newton Method

Neural Network Based STLF Model to Study the Seasonal Impact of Weather and Exogenous Variables

Demand and Response in Smart Grids for Modern Power System

Intelligent Load Shedding Using TCP/IP for Smart Grids

Optimization of neural network architecture using genetic algorithm for load forecasting

An improved WT and NN ensemble demand forecast model for PV integrated smart buildings

An improved neural ensemble framework for accurate PV output power forecast

Performance enhancement of IoMT using artificial intelligence algorithms

A comparative analysis of PSO and LM based NN short term load forecast with exogenous variables for smart power generation

Backstepping control using adaptive neural network for industrial two link robot manipulator

A hybrid neuro-genetic approach for STLF: A comparative analysis of model parameter variations

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