Georges Kariniotakis

What is he best known for?

The fields of study he is best known for:

• Wind power
• Electrical engineering
• Renewable energy

Georges Kariniotakis mostly deals with Wind power, Wind power forecasting, Electric power system, Term and Econometrics. His research in Wind power is mostly focused on Offshore wind power. His Wind power forecasting study combines topics in areas such as HIRLAM and Simulation.

The various areas that he examines in his Electric power system study include Control engineering, Control system, Stochastic modelling and Optimal control. In his research, Probability density function and Kernel density estimation is intimately related to Probabilistic logic, which falls under the overarching field of Econometrics. His research in State intersects with topics in Environmental economics, Electricity and Deliverable.

His most cited work include:

• Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power (431 citations)
• The state-of-the-art in short-term prediction of wind power. A literature overview (430 citations)
• Wind power forecasting using advanced neural networks models (321 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Wind power, Electric power system, Wind power forecasting, Renewable energy and Operations research. His studies in Wind power integrate themes in fields like Probabilistic logic, Meteorology, Electricity and Econometrics. The Meteorology study combines topics in areas such as Offshore wind power and Solar power.

Georges Kariniotakis has researched Electric power system in several fields, including Control system, Industrial engineering, Reliability engineering, Control engineering and Automotive engineering. In Wind power forecasting, Georges Kariniotakis works on issues like Predictability, which are connected to Estimation. As a part of the same scientific study, Georges Kariniotakis usually deals with the Renewable energy, concentrating on Photovoltaic system and frequently concerns with Battery.

He most often published in these fields:

• Wind power (60.42%)
• Electric power system (30.73%)
• Wind power forecasting (30.21%)

What were the highlights of his more recent work (between 2017-2021)?

• Smart grid (12.50%)
• Photovoltaic system (11.46%)
• Wind power (60.42%)

In recent papers he was focusing on the following fields of study:

Georges Kariniotakis focuses on Smart grid, Photovoltaic system, Wind power, Renewable energy and Electric power system. His study in Smart grid is interdisciplinary in nature, drawing from both Quality, Database, Numerical weather prediction, Power station and Probabilistic logic. His Photovoltaic system study incorporates themes from Electricity, Battery, Meteorology, Stochastic optimization and Nameplate capacity.

His research in Wind power is mostly concerned with Wind power forecasting. Georges Kariniotakis interconnects Task and Process in the investigation of issues within Wind power forecasting. The study incorporates disciplines such as Econometrics and Solar power in addition to Electric power system.

Between 2017 and 2021, his most popular works were:

• Robust optimization for day-ahead market participation of smart-home aggregators (36 citations)
• Stochastic operation of home energy management systems including battery cycling (31 citations)
• Multi-temporal assessment of power system flexibility requirement (19 citations)

In his most recent research, the most cited papers focused on:

• Electrical engineering
• Renewable energy
• Microeconomics

His scientific interests lie mostly in Wind power, Electric power system, Energy transition, Automotive engineering and Renewable energy. His Wind power research incorporates themes from Electronic engineering, Intermittent energy source and Autocorrelation. His Electric power system research spans across into subjects like Frequency spectrum analysis and Planner.

The Automotive engineering study combines topics in areas such as Electric vehicle and Distribution grid. His Renewable energy research incorporates elements of Wind speed and Power system simulation. His work carried out in the field of Production brings together such families of science as Probabilistic logic, Reliability engineering, Electricity and Smart grid.