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Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms

IEEE access, 2019, Vol.7, p.82584-82598

2019

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A Combined Model of Convolutional Neural Network and Bidirectional Long Short-Term Memory with Attention Mechanism for Load Harmonics Forecasting

Energies (Basel), 2024-06, Vol.17 (11), p.2658

2024

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Forecasting the Total South African Unplanned Capability Loss Factor Using an Ensemble of Deep Learning Techniques

Energies (Basel), 2022-04, Vol.15 (7), p.2546

2022

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A Novel Control Strategy in Grid-Integrated Photovoltaic System for Power Quality Enhancement

Energies (Basel), 2022-08, Vol.15 (15), p.5645

2022

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Proposed Fuzzy Logic System for Voltage Regulation and Power Factor Improvement in Power Systems with High Infiltration of Distributed Generation

Energies (Basel), 2020-08, Vol.13 (16), p.4241

2020

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An Average Voltage Approach to Control Energy Storage Device and Tap Changing Transformers Under High Distributed Generation

IEEE access, 2021, Vol.9, p.108731-108753

2021

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A Fault Level-Based System to Control Voltage and Enhance Power Factor Through an On-Load Tap Changer and Distributed Generators

IEEE access, 2021, Vol.9, p.34023-34039

2021

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Magnetic Force Classifier: A Novel Method for Big Data Classification

IEEE access, 2022, Vol.10, p.12592-12606

2022

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Predicting Solar Irradiance at Several Time Horizons Using Machine Learning Algorithms

Sustainability, 2023-06, Vol.15 (11), p.8927

2023

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A Hybrid Model Based on CNN-LSTM to Detect and Forecast Harmonics: A Case Study of an Eskom Substation in South Africa

Electric power components and systems, 2023-05, Vol.51 (8), p.746-760

2023

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Performance and Techno-Economic Analysis of Optimal Hybrid Renewable Energy Systems for the Mining Industry in South Africa

Sustainability, 2023-12, Vol.15 (24), p.16766

2023

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Voltage regulation system for OLTC in distribution power systems with high penetration level of embedded generation

International transactions on electrical energy systems, 2019-07, Vol.29 (7), p.n/a

2019

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Odd/Even Order Sampling Soft-Core Architecture Towards Mixed Signals Fourth Industrial Revolution (4IR) Applications

Energies (Basel), 2019-11, Vol.12 (23), p.4567

2019

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Comprehensive Evaluation of Machine Learning MPPT Algorithms for a PV System Under Different Weather Conditions

Journal of Electrical Engineering & Technology, 2021, 16(1), , pp.411-427

2021

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Mirror activation pattern selection techniques for media-based space-time block coded spatial modulation

Telecommunication systems, 2021-11, Vol.78 (3), p.307-316

2021

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Implementation of modified incremental conductance and fuzzy logic MPPT techniques using MCUK converter under various environmental conditions

Applied solar energy, 2017-04, Vol.53 (2), p.173-184

2017

Volltextzugriff (PDF)

Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks

Journal of intelligent & fuzzy systems, 2019-01, Vol.37 (6), p.8219-8235

2019

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Estimation of Hourly Global Solar Radiation Using Deep Learning Algorithms

2020 11th International Renewable Energy Congress (IREC), 2020, p.1-6

2020

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Implementing Extreme Gradient Boosting (XGBoost) Algorithm in Predicting Solar Irradiance

2021 IEEE PES/IAS PowerAfrica, 2021, p.1-5

2021

Volltextzugriff (PDF)

Efficient Method of Finding the Best Time Interval for Predicting Short Term Solar Radiation Using CNN-LSTM Model

2022 11th International Conference on Power Science and Engineering (ICPSE), 2022, p.159-163

2022

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Identification and classification of Green Leafy Vegetables using CNN models

2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), 2023, p.1-6

2023

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Using the Multilayer Perceptron (MLP) Model in Predicting the Patterns of Solar Irradiance at Several Time Intervals

2023 31st Southern African Universities Power Engineering Conference (SAUPEC), 2023, p.1-6

2023

Volltextzugriff (PDF)

Forecasting Hourly Solar Irradiance Using Long Short-Term Memory (LSTM) Network

2020 11th International Renewable Energy Congress (IREC), 2020, p.1-6

2020

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Finding the Optimum Horizon for Short-Term Solar Irradiance Forecasting Using Long Short-Term Memory (LSTM) Network

2022 11th International Conference on Power Science and Engineering (ICPSE), 2022, p.148-152

2022

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Forecasting Hourly Solar Radiation Using Artificial Intelligence Techniques

Canadian journal of electrical and computer engineering, 2021, Vol.44 (4), p.497-508

2021

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Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms

A Combined Model of Convolutional Neural Network and Bidirectional Long Short-Term Memory with Attention Mechanism for Load Harmonics Forecasting

Forecasting the Total South African Unplanned Capability Loss Factor Using an Ensemble of Deep Learning Techniques

A Novel Control Strategy in Grid-Integrated Photovoltaic System for Power Quality Enhancement

Proposed Fuzzy Logic System for Voltage Regulation and Power Factor Improvement in Power Systems with High Infiltration of Distributed Generation

An Average Voltage Approach to Control Energy Storage Device and Tap Changing Transformers Under High Distributed Generation

A Fault Level-Based System to Control Voltage and Enhance Power Factor Through an On-Load Tap Changer and Distributed Generators

Magnetic Force Classifier: A Novel Method for Big Data Classification

Predicting Solar Irradiance at Several Time Horizons Using Machine Learning Algorithms

A Hybrid Model Based on CNN-LSTM to Detect and Forecast Harmonics: A Case Study of an Eskom Substation in South Africa

Performance and Techno-Economic Analysis of Optimal Hybrid Renewable Energy Systems for the Mining Industry in South Africa

Voltage regulation system for OLTC in distribution power systems with high penetration level of embedded generation

Odd/Even Order Sampling Soft-Core Architecture Towards Mixed Signals Fourth Industrial Revolution (4IR) Applications

Comprehensive Evaluation of Machine Learning MPPT Algorithms for a PV System Under Different Weather Conditions

Mirror activation pattern selection techniques for media-based space-time block coded spatial modulation

Implementation of modified incremental conductance and fuzzy logic MPPT techniques using MCUK converter under various environmental conditions

Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks

Estimation of Hourly Global Solar Radiation Using Deep Learning Algorithms

Implementing Extreme Gradient Boosting (XGBoost) Algorithm in Predicting Solar Irradiance

Efficient Method of Finding the Best Time Interval for Predicting Short Term Solar Radiation Using CNN-LSTM Model

Identification and classification of Green Leafy Vegetables using CNN models

Using the Multilayer Perceptron (MLP) Model in Predicting the Patterns of Solar Irradiance at Several Time Intervals

Forecasting Hourly Solar Irradiance Using Long Short-Term Memory (LSTM) Network

Finding the Optimum Horizon for Short-Term Solar Irradiance Forecasting Using Long Short-Term Memory (LSTM) Network

Forecasting Hourly Solar Radiation Using Artificial Intelligence Techniques

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