Umit Cali

Orcid: 0000-0002-6402-0479

According to our database1, Umit Cali authored at least 49 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity.
Artif. Intell. Rev., July, 2024

Multitarget Normal Behavior Model Based on Heterogeneous Stacked Regressions and Change-Point Detection for Wind Turbine Condition Monitoring.
IEEE Trans. Ind. Informatics, April, 2024

Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication.
CoRR, 2024

Strategic Integration of Second-Life Batteries: Incentive Mechanisms for Boosting Community Energy Self-Consumption.
IEEE Access, 2024

Multi-Stage and Multi-Objective Feed-in Damping-Based Battery Aging-Aware Energy Management Strategy for Renewable Energy Integration.
IEEE Access, 2024

Battery Passport for Second-Life Batteries: Potential Applications and Challenges.
IEEE Access, 2024

A Hyperparameter-Tuned LSTM Technique-Based Battery Remaining Useful Life Estimation Considering Incremental Capacity Curves.
IEEE Access, 2024

A Novel Improved Grey Wolf Algorithm Based Global Maximum Power Point Tracker Method Considering Partial Shading.
IEEE Access, 2024

A Novel Electric Vehicle Charging Management With Dynamic Active Power Curtailment Framework for PV-Rich Prosumers.
IEEE Access, 2024

Emerging Technologies for Privacy Preservation in Energy Systems.
Proceedings of the European Interdisciplinary Cybersecurity Conference, 2024

2023
Adversarial security mitigations of mmWave beamforming prediction models using defensive distillation and adversarial retraining.
Int. J. Inf. Sec., April, 2023

Assessment of the Distributed Ledger Technology for Energy Sector Industrial and Operational Applications Using the MITRE ATT&CK® ICS Matrix.
IEEE Access, 2023

A Comprehensive Data Analysis of Electric Vehicle User Behaviors Toward Unlocking Vehicle-to-Grid Potential.
IEEE Access, 2023

Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks.
Proceedings of the 12th Mediterranean Conference on Embedded Computing, 2023

Digital Privacy and Cyberphysical Security Perspectives of Grid-Edge Power Systems and Markets.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Contribution of Blockchain Technology In Energy to the Climate Change Efforts.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Cybersecurity and Digital Privacy Aspects of V2X in the EV Charging Structure.
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

Digital Energy Platforms Considering Digital Privacy and Security by Design Principles.
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

Cyber-physical Hardening of the Digital Water Infrastructure.
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

2022
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction.
Phys. Commun., 2022

Anomaly Detection in Power Markets and Systems.
CoRR, 2022

Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data.
CoRR, 2022

Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks.
CoRR, 2022

LCOE-based Pricing for DLT-enabled Local Energy Trading Platforms.
CoRR, 2022

Co-Simulation of Optimal EVSE and Techno-Economic System Design Models for Electrified Fleets.
IEEE Access, 2022

A Review of Machine Learning-Based Photovoltaic Output Power Forecasting: Nordic Context.
IEEE Access, 2022

Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks.
IEEE Access, 2022

Prioritizing Energy Blockchain Use Cases Using Type-2 Neutrosophic Number-Based EDAS.
IEEE Access, 2022

Standardization of Smart Contracts for Energy Markets and Operation.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Day-ahead Load Forecasting using Explainable Artificial Intelligence.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case.
Proceedings of the EICC 2022: European Interdisciplinary Cybersecurity Conference, Barcelona, Spain, June 15, 2022

A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA.
Eng. Appl. Artif. Intell., 2021

Cybersecurity of Renewable Energy Data and Applications Using Distributed Ledger Technology.
CoRR, 2021

Analysis of False Data Injection Impact on AI based Solar Photovoltaic Power Generation Forecasting.
CoRR, 2021

Development of A Load Control Algorithm to Enhance Energy Sustainability for the International Space Station.
CoRR, 2021

Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction.
CoRR, 2021

Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches.
CoRR, 2021

Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency.
CoRR, 2021

Use of Forecasting in Energy Storage Applications: A Review.
IEEE Access, 2021

Novel Donation Sharing Mechanisms Under Smart Energy Cyber-Physical-Social System and DLT to Contend the Energy Poverty Problem.
IEEE Access, 2021

Pricing for Reactive Power and Ancillary Services in Distribution Electricity Markets.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

An Interpretable Solar Photovoltaic Power Generation Forecasting Approach Using An Explainable Artificial Intelligence Tool.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Machine Learning for PV System Operational Fault Analysis: Literature Review.
Proceedings of the Intelligent Technologies and Applications, 2021

2020
Gaining Insight Into Solar Photovoltaic Power Generation Forecasting Utilizing Explainable Artificial Intelligence Tools.
IEEE Access, 2020

Realizing the Potential of Blockchain Technology in Smart Grid Applications.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
Energy Policy Instruments for Distributed Ledger Technology Empowered Peer-to-Peer Local Energy Markets.
IEEE Access, 2019

2018
Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018


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