What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Statistics
- Voltage
Matti Lehtonen focuses on Demand response, Reliability engineering, Electronic engineering, Smart grid and Electrical engineering.
His research integrates issues of Decision model, Load profile, Mathematical optimization and Operations research in his study of Demand response.
His Reliability engineering research is multidisciplinary, incorporating perspectives in Control engineering, Fault management, Reliability and Reliability.
His Electronic engineering research integrates issues from Rogowski coil, Noise, Fault, Current transformer and Transient.
His Fault research includes themes of Electrical network and High impedance.
His Smart grid research incorporates elements of Control, Electric power, Load management, HVAC and Flexibility.
His most cited work include:
- Dynamic thermal modelling of power transformers (209 citations)
- A Distributed Algorithm for Managing Residential Demand Response in Smart Grids (175 citations)
- Voltage sag distributions caused by power system faults (121 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Electrical engineering, Electronic engineering, Voltage, Reliability engineering and Electric power system.
His research is interdisciplinary, bridging the disciplines of Distribution networks and Electrical engineering.
His studies deal with areas such as Transformer, Emtp, Partial discharge, Fault and Transient as well as Electronic engineering.
The study incorporates disciplines such as Photovoltaic system and Control theory in addition to Voltage.
The various areas that he examines in his Reliability engineering study include Automation, Voltage sag, Electric power distribution, Smart grid and Reliability.
His work in Electric power system tackles topics such as Demand response which are related to areas like Flexibility, Load management, Operations research and Mathematical optimization.
He most often published in these fields:
- Electrical engineering (24.54%)
- Electronic engineering (22.72%)
- Voltage (19.50%)
What were the highlights of his more recent work (between 2019-2021)?
- Mathematical optimization (7.71%)
- Voltage (19.50%)
- Electric power system (15.15%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Voltage, Electric power system, Photovoltaic system and Renewable energy.
His Mathematical optimization research incorporates themes from Distributed generation and AC power.
His Voltage study introduces a deeper knowledge of Electrical engineering.
His Renewable energy study combines topics from a wide range of disciplines, such as Electric vehicle, Electricity, Wind power and Maximum power principle.
His Transformer study incorporates themes from Surge arrester, Overvoltage, Reliability engineering and Spark gap.
He focuses mostly in the field of Reliability engineering, narrowing it down to topics relating to Reliability and, in certain cases, Electric power distribution.
Between 2019 and 2021, his most popular works were:
- Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation (15 citations)
- Trilateral Planning Model for Integrated Community Energy Systems and PV-Based Prosumers—A Bilevel Stochastic Programming Approach (15 citations)
- Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters. (14 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Statistics
- Voltage
The scientist’s investigation covers issues in Voltage, Photovoltaic system, Mathematical optimization, Electric power system and Optimization problem.
His research on Voltage concerns the broader Electrical engineering.
Matti Lehtonen interconnects Control engineering, Control theory, Metaheuristic and Fuzzy logic in the investigation of issues within Photovoltaic system.
His research in Mathematical optimization intersects with topics in Wind power and Renewable energy.
His study in Optimization problem is interdisciplinary in nature, drawing from both Distributed generation, Particle swarm optimization and Benchmark.
His Fault research is multidisciplinary, relying on both Transformer oil, Transformer, Dissolved gas analysis, Reliability engineering and Electric power.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
