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Forecasting Wind Power Generation Using Artificial Neural Network: “Pawan Danawi”—A Case Study from Sri Lanka

Journal of Electrical and Computer Engineering, 2021-03, Vol.2021, p.1-10

2021

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Consumer-Centric Rate Design for Peak Time Energy Demand Coincidence Reduction at Domestic Sector Level-A Smart Energy Service for Residential Demand Response

Journal of Electrical and Computer Engineering, 2022-10, Vol.2022, p.1-16

2022

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Wind Energy Resource Prediction and Optimal Storage Sizing to Guarantee Dispatchability: A Case Study in the Kenyan Power Grid

Journal of Electrical and Computer Engineering, 2022-05, Vol.2022, p.1-25

2022

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Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network

Journal of Electrical and Computer Engineering, 2022-03, Vol.2022, p.1-8

2022

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An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem

Journal of Electrical and Computer Engineering, 2021, Vol.2021, p.1-11

2021

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Optimal Allocation of Combined Renewable Distributed Generation and Capacitor Units for Interconnection Cost Reduction

Journal of Electrical and Computer Engineering, 2020, Vol.2020, p.1-11

2020

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Optimal Decision-Making on Hybrid Off-Grid Energy Systems for Rural and Remote Areas Electrification in the Northern Cameroon

Journal of Electrical and Computer Engineering, 2022-04, Vol.2022, p.1-14

2022

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Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation

European journal of operational research, 2022-01, Vol.296 (1), p.304-322

2022

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Active and Reactive Power Control for Wind Turbines Based DFIG Using LQR Controller with Optimal Gain-Scheduling

Journal of Electrical and Computer Engineering, 2021-10, Vol.2021, p.1-19

2021

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Robust Power Designing of Supplementary Damping Controller in VSC HVDC System to Improve Energy Conversion Efficiency of Wind Turbine and Power System Stability

Journal of Electrical and Computer Engineering, 2022-01, Vol.2022, p.1-16

2022

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Rolling Scheduling Method considering Shiftable Demand Respond Resources

Journal of Electrical and Computer Engineering, 2021-02, Vol.2021, p.1-8

2021

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Application of Magnetic Coupling Resonant Wireless Power Supply in a Torque Online Telemetering System of a Rolling Mill

Journal of Electrical and Computer Engineering, 2020, Vol.2020, p.1-9

2020

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SAR650984, A Novel Humanized CD38-Targeting Antibody, Demonstrates Potent Antitumor Activity in Models of Multiple Myeloma and Other CD38+ Hematologic Malignancies

Clinical cancer research, 2014-09, Vol.20 (17), p.4574-4583

2014

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New approach to determine the healthy immune variations by combining clustering methods

Scientific reports, 2021-04, Vol.11 (1), p.8917-8917, Article 8917

2021

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Recalibration of recurrent neural networks for short-term wind power forecasting

Electric power systems research, 2021-01, Vol.190, p.106639, Article 106639

2021

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Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks

Energies (Basel), 2020-08, Vol.13 (15), p.3928

2020

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Chance-Constrained Based Voltage Control Framework to Deal with Model Uncertainties in MV Distribution Systems

Energies (Basel), 2021-08, Vol.14 (16), p.5161

2021

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Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities

Energies (Basel), 2020-09, Vol.13 (18), p.4892

2020

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Machine Learning-Based Classification of Electrical Low Voltage Cable Degradation

Energies (Basel), 2021-05, Vol.14 (10), p.2852

2021

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Optimal Wind Clustering Methodology for Adequacy Evaluation in System Generation Studies Using Nonsequential Monte Carlo Simulation

IEEE transactions on power systems, 2011-11, Vol.26 (4), p.2173-2184

2011

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IEEE_Xplore

Day-Ahead Energy and Reserve Dispatch Problem under Non-Probabilistic Uncertainty

Energies (Basel), 2021-02, Vol.14 (4), p.1016

2021

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Batch Acquisition for Parallel Bayesian Optimization—Application to Hydro-Energy Storage Systems Scheduling

Algorithms, 2022-12, Vol.15 (12), p.446

2022

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Collecting New Peak and Intermediate Infliximab Levels to Predict Remission in Inflammatory Bowel Diseases

Inflammatory bowel diseases, 2022-02, Vol.28 (2), p.208-217

2022

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Printed voices: the Renaissance culture of dialogue

Printed voices, 2004

1, 2004

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Forecasting Wind Power Generation Using Artificial Neural Network: “Pawan Danawi”—A Case Study from Sri Lanka

Consumer-Centric Rate Design for Peak Time Energy Demand Coincidence Reduction at Domestic Sector Level-A Smart Energy Service for Residential Demand Response

Wind Energy Resource Prediction and Optimal Storage Sizing to Guarantee Dispatchability: A Case Study in the Kenyan Power Grid

Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network

An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem

Optimal Allocation of Combined Renewable Distributed Generation and Capacitor Units for Interconnection Cost Reduction

Optimal Decision-Making on Hybrid Off-Grid Energy Systems for Rural and Remote Areas Electrification in the Northern Cameroon

Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation

Active and Reactive Power Control for Wind Turbines Based DFIG Using LQR Controller with Optimal Gain-Scheduling

Robust Power Designing of Supplementary Damping Controller in VSC HVDC System to Improve Energy Conversion Efficiency of Wind Turbine and Power System Stability

Rolling Scheduling Method considering Shiftable Demand Respond Resources

Application of Magnetic Coupling Resonant Wireless Power Supply in a Torque Online Telemetering System of a Rolling Mill

SAR650984, A Novel Humanized CD38-Targeting Antibody, Demonstrates Potent Antitumor Activity in Models of Multiple Myeloma and Other CD38+ Hematologic Malignancies

New approach to determine the healthy immune variations by combining clustering methods

Recalibration of recurrent neural networks for short-term wind power forecasting

Deep Reinforcement Learning-Based Voltage Control to Deal with Model Uncertainties in Distribution Networks

Chance-Constrained Based Voltage Control Framework to Deal with Model Uncertainties in MV Distribution Systems

Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities

Machine Learning-Based Classification of Electrical Low Voltage Cable Degradation

Selective blockade of the hydrolysis of the endocannabinoid 2-arachidonoylglycerol impairs learning and memory performance while producing antinociceptive activity in rodents

Optimal Wind Clustering Methodology for Adequacy Evaluation in System Generation Studies Using Nonsequential Monte Carlo Simulation

Day-Ahead Energy and Reserve Dispatch Problem under Non-Probabilistic Uncertainty

Batch Acquisition for Parallel Bayesian Optimization—Application to Hydro-Energy Storage Systems Scheduling

Collecting New Peak and Intermediate Infliximab Levels to Predict Remission in Inflammatory Bowel Diseases

Printed voices: the Renaissance culture of dialogue

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