Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications

M Papadimitrakis, N Giamarelos, M Stogiannos… - … and Sustainable Energy …, 2021 - Elsevier
A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …

A machine learning model ensemble for mixed power load forecasting across multiple time horizons

N Giamarelos, M Papadimitrakis, M Stogiannos… - Sensors, 2023 - mdpi.com
The increasing penetration of renewable energy sources tends to redirect the power
systems community's interest from the traditional power grid model towards the smart grid …

[HTML][HTML] Algorithm design for European electricity market clearing with joint allocation of energy and control reserves

D Divényi, B Polgári, Á Sleisz, P Sőrés… - International Journal of …, 2019 - Elsevier
In order to enhance the liquidity and stability of ancillary service markets in Europe and to
motivate the participation of renewable energy resources, the incorporation of control …

New formulation of power plants' general complex orders on European electricity markets

Á Sleisz, D Divényi, D Raisz - Electric Power Systems Research, 2019 - Elsevier
The adequate modeling of power generation is one of the most challenging issues in the
field of electricity markets. Practical market clearing requires simple and transparent …

[HTML][HTML] Complex energy-reserve orders for generators with income and ramping restrictions on European electricity markets

D Divényi, B Polgári, Á Sleisz, P Sőrés… - Electric Power Systems …, 2023 - Elsevier
Electricity market integration is an ongoing process in the European power sector. One of its
important development areas concerns the integrated, combined trading of different power …

Unstructured Healthcare Statistics Exploration Consuming Modest Ensemble Machine Learning Methods

K Gunavathy, A Agarwal… - … Conference on Recent …, 2023 - ieeexplore.ieee.org
Various approaches to classifying emotions can be found inside an ML study. Of course,
there are ML algorithms that do exceptionally well on particular text datasets but …

Improving gradient constraint of complex energy orders on power exchanges

A Mogyorósi, D Divényi - 2017 14th International Conference …, 2017 - ieeexplore.ieee.org
The unification of the day-ahead power exchanges resulted in a varying set of order types,
which leads to challenges in the formalization of mathematical models and clearing …

OPF model with dynamic security constraints: a state of the art review

A Berizzi, V Ilea, M Petrelli, A Vicario… - 2021 AEIT …, 2021 - ieeexplore.ieee.org
First optimization models regarding optimal dispatch of generation resources considering
static and dynamic security of the network are reviewed. Given the difficulty to solve non …