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Juri Belikov - IEEE Xplore Author Profile
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Juri Belikov

Also published under: J. Belikov

Publications
115
Citations
733
Publications by Year
20082025
Co-Authors:
Show All Co-Authors (77)
Image of author Juri Belikov

Juri Belikov

Also published under: J. Belikov

Affiliation

Department of Software Science
Tallinn University of Technology
Tallinn, Estonia

Publication Topics

Biography

Juri Belikov (Senior Member, IEEE) received the B.S. degree in mathematics from Tallinn University, Tallinn, Estonia, in 2006, and the M.S. and Ph.D. degrees in computer and systems engineering from the Tallinn University of Technology, Tallinn, Estonia, in 2008 and 2012, respectively, His Ph.D thesis was titled Polynomial methods for nonlinear control systems.,In 2015–2017, he was a Postdoctoral Fellow with the Faculty of Mechanical Engineering and Andrew & Erna Viterbi Faculty of Electrical Engineering, Technion—Israel Institute of Technology, Haifa, Israel. He is currently an Assistant Professor with the Department of Software Science, Tallinn University of Technology. His research interests include the edge of nonlinear control theory a...
Publications
115
Citations
733
Publications by Year
20082025
Co-Authors:
Show All Co-Authors (77)
Author's Published Works

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Single Cell Energy Router Justification for Three Phase Near Zero Energy Buildings

Hossein Nourollahi Hokmabad;Tala Hemmati Shahsavar;Oleksandr Matiushkin;Tanel Jalakas;Oleksandr Husev;Juri Belikov

2025 IEEE Applied Power Electronics Conference and Exposition (APEC)
Year: 2025 | Conference Paper |
The rise of building-integrated photovoltaics and distributed electric vehicle charging has led to significant phase imbalances in utility grids, challenging service providers due to limited behind-the-meter visibility. This paper introduces a novel Single-Cell Three-Phase (SC-TP) Energy Router (ER) that accesses all phases and balances them without the complexities and costs associated with conve...Show More

Single Cell Energy Router Justification for Three Phase Near Zero Energy Buildings

Hossein Nourollahi Hokmabad;Tala Hemmati Shahsavar;Oleksandr Matiushkin;Tanel Jalakas;Oleksandr Husev;Juri Belikov

Year: 2025 | Conference Paper |

Day-Ahead Solar Power Forecasting Using LightGBM and Self-Attention Based Encoder-Decoder Networks

Hossein Nourollahi Hokmabad;Oleksandr Husev;Juri Belikov

IEEE Transactions on Sustainable Energy
Year: 2025 | Volume: 16, Issue: 2 | Journal Article |
The burgeoning trend of integrating renewable energy harvesters into the grid introduces critical issues for its reliability and stability. These issues arise from the stochastic and intermittent nature of renewable energy sources. Data-driven forecasting tools are indispensable in mitigating these challenges with their rugged performance. However, tools relying solely on data-driven methods often...Show More

Day-Ahead Solar Power Forecasting Using LightGBM and Self-Attention Based Encoder-Decoder Networks

Hossein Nourollahi Hokmabad;Oleksandr Husev;Juri Belikov

Year: 2025 | Volume: 16, Issue: 2 | Journal Article |

An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach

Leena Heistrene;Juri Belikov;Dmitry Baimel;Liran Katzir;Ram Machlev;Kfir Levy;Shie Mannor;Yoash Levron

IEEE Transactions on Artificial Intelligence
Year: 2025 | Volume: 6, Issue: 1 | Journal Article |
Cited by: Papers (2)
Forecasting errors in power markets, even as small as 1%, can have significant financial implications. However, even high-performance artificial intelligence (AI) based electricity price forecasting (EPF) models have instances when their prediction error is much higher than those shown by mean performance metrics. To date, explainable AI has been used to enhance the model transparency and trustwor...Show More

An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach

Leena Heistrene;Juri Belikov;Dmitry Baimel;Liran Katzir;Ram Machlev;Kfir Levy;Shie Mannor;Yoash Levron

Year: 2025 | Volume: 6, Issue: 1 | Journal Article |

LQG Problem of Descriptor Systems and Separation Principle

Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

2024 IEEE 63rd Conference on Decision and Control (CDC)
Year: 2024 | Conference Paper |
The performance of linear-quadratic regulators (LQRs), which possess robustness with guaranteed levels of gain and phase margin, will be affected by incomplete state information. By furnishing this regulator with a linear-quadratic estimator (LQE), a recursive algorithm with an optimal feedback law can be obtained. Notwithstanding this, the optimal operation of this so-called linear-quadratic Gaus...Show More

LQG Problem of Descriptor Systems and Separation Principle

Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

Year: 2024 | Conference Paper |

Robust Stability Region of PI Controllers for an Interval Time Delayed Load Frequency Control

Majid Ghorbani;Komeil Nosrati;Aleksei Tepljakov;Juri Belikov;Eduard Petlenkov

2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)
Year: 2024 | Conference Paper |
Transmission delays, load fluctuations, and intermittent output power of renewable energy sources will all have a substantial impact on frequency stability in microgrids (MGs). In response, various types of advanced control techniques were employed to improve the performance of the load frequency control (LFC) systems. Notwithstanding this, the fragility of the current techniques makes LFC systems...Show More

Robust Stability Region of PI Controllers for an Interval Time Delayed Load Frequency Control

Majid Ghorbani;Komeil Nosrati;Aleksei Tepljakov;Juri Belikov;Eduard Petlenkov

Year: 2024 | Conference Paper |

MPC-based Optimal Control of Battery Management System in Residential Application

Tauri Tammaru;Hossein N. Hokmabad;Yoash Levron;Juri Belikov

2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)
Year: 2024 | Conference Paper |
In the evolving field of residential energy management, optimizing energy use while minimizing costs has become increasingly critical. This paper explores the problem of optimizing a home energy management system by using Model Predictive Control (MPC) to boost economic efficiency and battery longevity. By integrating market prices, historical energy demand, and solar data into the MPC algorithm, ...Show More

MPC-based Optimal Control of Battery Management System in Residential Application

Tauri Tammaru;Hossein N. Hokmabad;Yoash Levron;Juri Belikov

Year: 2024 | Conference Paper |

Practical Real-Time Data-Driven Approach for District Cooling Plant Operational Optimization

Ivan Sukhanov;Ahmet Köse;Lauri Loo;Aleksei Tepljakov;Eduard Petlenkov;Juri Belikov

2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)
Year: 2024 | Conference Paper |
The real estate sector has a dramatic impact on global carbon dioxide emissions, approximately 70% of the emissions are produced by or are due to building operations. With rising global electricity costs and climate change mitigation, there is a significant interest in energy-efficient solutions for building operations. Although comprehensive cooling systems are widespread throughout Europe, most ...Show More

Practical Real-Time Data-Driven Approach for District Cooling Plant Operational Optimization

Ivan Sukhanov;Ahmet Köse;Lauri Loo;Aleksei Tepljakov;Eduard Petlenkov;Juri Belikov

Year: 2024 | Conference Paper |

Extended Observer Form for Nonlinear System with Disturbances: Algorithm and Application

Vadim Kaparin;Ashutosh Simha;Nilanjan Roy Chowdhury;Ülle Kotta;Yoash Levron;Juri Belikov

2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Year: 2024 | Conference Paper |
The paper addresses the problem of transforming single-output nonlinear state equations affine in disturbance into an extended observer form whose nonlinear injection part depends additionally on the derivatives of the output up to a finite order. Moreover, the considered form is affine in disturbance. Based on the earlier results a detailed algorithm is given and applied to the model of a synchro...Show More

Extended Observer Form for Nonlinear System with Disturbances: Algorithm and Application

Vadim Kaparin;Ashutosh Simha;Nilanjan Roy Chowdhury;Ülle Kotta;Yoash Levron;Juri Belikov

Year: 2024 | Conference Paper |

Profiling and Schedule Based Forecast of Electricity Usage to Improve Energy Performance of Administrative Buildings

Kristina Vassiljeva;Margarita Matson;Juri Belikov;Eduard Petlenkov

2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)
Year: 2024 | Conference Paper |
Accurate forecast of electricity demand is an important problem in the energy domain. However, development of a cost-effective solution that does not require additional resources or data and makes hourly forecasts for several weeks, even a month remains an open challenge. Therefore, in this paper, we propose a method that allows to predict of electricity demand in administrative buildings relying ...Show More

Profiling and Schedule Based Forecast of Electricity Usage to Improve Energy Performance of Administrative Buildings

Kristina Vassiljeva;Margarita Matson;Juri Belikov;Eduard Petlenkov

Year: 2024 | Conference Paper |

Demand Side Management for Commercial Buildings: Multiple Heating Systems Based Optimization in Real-Time

Ahmet Köse;Ivan Sukhanov;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)
Year: 2024 | Conference Paper |
The real estate sector has a dramatic impact on global carbon dioxide emissions, approximately 70% of the emissions are produced by or are due to building operations. The increasing demand for heating buildings poses a significant challenge in terms of emissions, and the European Parliament has set ambitious targets in response to this challenge, including a 40% reduction in final energy consumpti...Show More

Demand Side Management for Commercial Buildings: Multiple Heating Systems Based Optimization in Real-Time

Ahmet Köse;Ivan Sukhanov;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

Year: 2024 | Conference Paper |

Revisiting the LQR Problem of Singular Systems

Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

IEEE/CAA Journal of Automatica Sinica
Year: 2024 | Volume: 11, Issue: 11 | Journal Article |
In the development of linear quadratic regulator (LQR) algorithms, the Riccati equation approach offers two important characteristics —it is recursive and readily meets the existence condition. However, these attributes are applicable only to transformed singular systems, and the efficiency of the regulator may be undermined if constraints are violated in nonsingular versions. To address this gap,...Show More

Revisiting the LQR Problem of Singular Systems

Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

Year: 2024 | Volume: 11, Issue: 11 | Journal Article |

Supply Air Temperature Control in Air Handling Unit based on Federated Learning

Marika Eik;Hossein Nourollahi Hokmabad;Ahmet Kose;Oleksandr Husev;Juri Belikov

2024 IEEE Power & Energy Society General Meeting (PESGM)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
The study presents the application of a graph-based Federated Learning (FL) approach to model the supply air temperature in an air handling unit (AHU). An empirical graph including four machines was constructed based on Kullback-Leibler Divergence metrics, and the high-weight edges were used for model training by an FL algorithm: FedSGD. Each graph node includes a local data set consisting of the ...Show More

Supply Air Temperature Control in Air Handling Unit based on Federated Learning

Marika Eik;Hossein Nourollahi Hokmabad;Ahmet Kose;Oleksandr Husev;Juri Belikov

Year: 2024 | Conference Paper |

Model Predictive Control of Descriptor Systems

Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

IEEE Control Systems Letters
Year: 2024 | Volume: 8 | Journal Article |
While model predictive control (MPC) is widely used in the process industry for its ability to handle constraints and address complex dynamics, its conventional formulations often encounter challenges when dealing with descriptor systems. These formulations rely on system transformations that are applicable only to regular systems in specific scenarios, along with additional index assumptions. Thi...Show More

Model Predictive Control of Descriptor Systems

Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

Year: 2024 | Volume: 8 | Journal Article |

Feasibility Study of a DC House Connected to a Conventional AC Distribution Network

Hossein Nourollahi Hokmabad;Noman Shabir;Victor Astapov;Eduard Petlenkov;Oleksandr Husev;Juri Belikov

2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
Year: 2024 | Conference Paper |
Cited by: Papers (2)
Leveraging advancements in power electronics, the adoption of Direct Current (dc) technology in net-Zero Energy Buildings (nZEBs) is seen as a promising approach to boost energy efficiency. Emerging dc technology aims to reduce power losses by eliminating unnecessary conversions between dc and Alternating Current (ac). This paper thoroughly assesses the effectiveness of dc and hybrid dc (partial d...Show More

Feasibility Study of a DC House Connected to a Conventional AC Distribution Network

Hossein Nourollahi Hokmabad;Noman Shabir;Victor Astapov;Eduard Petlenkov;Oleksandr Husev;Juri Belikov

Year: 2024 | Conference Paper |

Evaluating Model Performance Through a User-Centric Explainable Framework for Probabilistic Load Forecasting Models

Rebecca Robin;Leena Heistrene;Juri Belikov;Dmitry Baimel;Yoash Levron

2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)
Year: 2024 | Conference Paper |
Load forecasting models ensure efficient, secure, and stable operation of the modern power system. Probabilistic forecasting accounts for uncertainties associated with missing features that are often overlooked by deterministic approaches. However, machine learning-based probabilistic models are complicated. This paper proposes a user-centric explainable AI framework that presents global and local...Show More

Evaluating Model Performance Through a User-Centric Explainable Framework for Probabilistic Load Forecasting Models

Rebecca Robin;Leena Heistrene;Juri Belikov;Dmitry Baimel;Yoash Levron

Year: 2024 | Conference Paper |

Applications of Digital Twins for Demand Side Recommendation Scheme with Consumer Comfort Constraints

Abiodun E. Onile;Juri Belikov;Eduard Petlenkov;Yoash Levron

2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
The next evolution of traditional energy systems towards smart grid will require end-consumers to actively participate and make informed decisions regarding their energy usage. Industry 4.0 facilitates such progress by allowing more advanced analytics and creating means for end-consumers and distributed grid assets to be modelled as their Digital twins (DT) equivalents, paving the way for asset-le...Show More

Applications of Digital Twins for Demand Side Recommendation Scheme with Consumer Comfort Constraints

Abiodun E. Onile;Juri Belikov;Eduard Petlenkov;Yoash Levron

Year: 2023 | Conference Paper |

Day-ahead PV Output Power Forecasting Utilizing Boosting Recursive LightGBM-LSTM Framework

Hossein Nourollahi Hokmabad;Oleksandr Husev;Dmitri Vinnikov;Juri Belikov;Eduard Petlenkov

2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Recently, global photovoltaic (PV) system installations have surged. Precise forecasting is vital for their grid integration and carbon emission cuts. However, due to fluctuating solar radiation, predicting PV output is difficult. Machine learning models, notably Long Short-Term Memory (LSTM) networks, offer a solution. This study presents a novel framework using a boosted recursive Light Gradient...Show More

Day-ahead PV Output Power Forecasting Utilizing Boosting Recursive LightGBM-LSTM Framework

Hossein Nourollahi Hokmabad;Oleksandr Husev;Dmitri Vinnikov;Juri Belikov;Eduard Petlenkov

Year: 2023 | Conference Paper |

Emerging Role of Industry 5.0 Digital Twins in Demand Response Electricity Market and Applications

Abiodun E. Onile;Juri Belikov;Eduard Petlenkov;Yoash Levron

2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Traditional power system is facing challenges demanding new operational requirements to meet targets of Net Zero Emissions by 2050. Aggregators are playing progressively important role in the demand response (DR) electricity market but are often riddled with deep level of market monopoly and lack of transparency/secrecy. Emerging real-time information technology (IT) applications and novel modelli...Show More

Emerging Role of Industry 5.0 Digital Twins in Demand Response Electricity Market and Applications

Abiodun E. Onile;Juri Belikov;Eduard Petlenkov;Yoash Levron

Year: 2023 | Conference Paper |

Penalized Least-Squares Method for LQR Problem of Singular Systems

Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

2023 62nd IEEE Conference on Decision and Control (CDC)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
The linear quadratic regulator (LQR) algorithms devised using the Riccati equation possess two key attributes-they are recursive and have easily met conditions of existence. Nevertheless, these features only apply for the transformed structure of the regulated dynamics in singular systems, otherwise their optimal performance will be compromised under violation of constraints in non-singular versio...Show More

Penalized Least-Squares Method for LQR Problem of Singular Systems

Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

Year: 2023 | Conference Paper |

Leveraging Digital Twins and Demand Side Recommender Chatbot for Optimizing Smart Grid Energy Efficiency

Abiodun E. Onile;Juri Belikov;Eduard Petlenkov;Yoash Levron

2023 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)
Year: 2023 | Conference Paper |
Cited by: Papers (5)
Electricity consumers often face the challenge of selecting an optimal plan for saving energy. Strategic energy management and monitoring plays a key role in overcoming these challenges. Developments around Industry 5.0 powered smart grid proffers adequate solutions which allows end-consumers to monitor their energy performance towards effecting demand side recommendation services. Specific proble...Show More

Leveraging Digital Twins and Demand Side Recommender Chatbot for Optimizing Smart Grid Energy Efficiency

Abiodun E. Onile;Juri Belikov;Eduard Petlenkov;Yoash Levron

Year: 2023 | Conference Paper |

Properties of Nonlinear Power System Models that are Symmetrically Configured in the Narrow Sense

Elior Segev;Ron Ofir;Yoash Levron;Juri Belikov

2023 IEEE Power & Energy Society General Meeting (PESGM)
Year: 2023 | Conference Paper |
Symmetry is a fundamental property of three-phase circuits and is widely used in the analysis of large-scale power systems. However, when the system is nonlinear or time-varying, classical symmetry generally does not provide sufficient information. Therefore, in this paper, we explore properties of three-phase circuits with dynamic models that are “simple” in some stronger sense. We define a circu...Show More

Properties of Nonlinear Power System Models that are Symmetrically Configured in the Narrow Sense

Elior Segev;Ron Ofir;Yoash Levron;Juri Belikov

Year: 2023 | Conference Paper |

Constrained Intelligent Frequency Control in an AC Microgrid: An Online Reinforcement Learning Based PID Tuning Approach

K. Nosrati;A. Tepljakov;E. Petlenkov;V. Skiparev;J. Belikov;Y. Levron

2023 IEEE Power & Energy Society General Meeting (PESGM)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Variable output power in isolated microgrids (MGs) threatens frequency stability and may even degrade power quality. In response, intelligent control methods have been developed and applied to frequency deviation control systems with excellent results. Nevertheless, a potential problem is that the application of such advanced techniques with a large search space is not enough to deal with highly d...Show More

Constrained Intelligent Frequency Control in an AC Microgrid: An Online Reinforcement Learning Based PID Tuning Approach

K. Nosrati;A. Tepljakov;E. Petlenkov;V. Skiparev;J. Belikov;Y. Levron

Year: 2023 | Conference Paper |

An Enhanced NN-based Load Frequency Control Design of MGs: A Fractional order Modeling Method

Vjatseslav Skiparev;Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
Developing accurate mathematical models for microgrid (MG) components is the initial step before implementing various load frequency control (LFC) strategies and analysis. In this regard, different high-order models associated with different nonlinearities have been included to increase the modeling accuracy resulted in a performance improvement in the LFC techniques. Nevertheless, these high-orde...Show More

An Enhanced NN-based Load Frequency Control Design of MGs: A Fractional order Modeling Method

Vjatseslav Skiparev;Komeil Nosrati;Juri Belikov;Aleksei Tepljakov;Eduard Petlenkov

Year: 2023 | Conference Paper |

Energy Storage and Forecasting Error Impact Analysis In Photovoltaic Equipped Residential Nano-Grids

Hossein Nourollahi Hokmabad;Oleksandr Husev;Juri Belikov;Dmitri Vinnikov;Eduard Petlenkov

2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
Battery energy storage systems (BESS) enable many applications for photovoltaic (PV) equipped nano-grids. Stored excessive energy is utilized for energy arbitrage, demand response during blackouts, and peak shaving. This technology helped utility service providers deal with the duck-curve-effect and intermittency of renewable energy systems. In this paper, we investigate the benefits of using ener...Show More

Energy Storage and Forecasting Error Impact Analysis In Photovoltaic Equipped Residential Nano-Grids

Hossein Nourollahi Hokmabad;Oleksandr Husev;Juri Belikov;Dmitri Vinnikov;Eduard Petlenkov

Year: 2023 | Conference Paper |

A Generalized Control Paradigm for Storage Systems: Optimal Energy Management and Stability Certificates

Nilanjan Roy Chowdhury;Dmitry Baimel;Juri Belikov;Yoash Levron

IEEE Transactions on Control Systems Technology
Year: 2023 | Volume: 31, Issue: 6 | Journal Article |
In this brief, we propose a suboptimal control update for lossless storage systems that operates based on the instantaneous value of the load power and generalizes previously suggested solutions for energy management problems. The proposed control update performs under uncertain conditions and does not require statistical information about the load profile. We leverage tools from Pontryagin’s mini...Show More

A Generalized Control Paradigm for Storage Systems: Optimal Energy Management and Stability Certificates

Nilanjan Roy Chowdhury;Dmitry Baimel;Juri Belikov;Yoash Levron

Year: 2023 | Volume: 31, Issue: 6 | Journal Article |

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