Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications
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 …
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
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 …
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
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 …
motivate the participation of renewable energy resources, the incorporation of control …
New formulation of power plants' general complex orders on European electricity markets
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 …
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
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 …
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 …
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 …
which leads to challenges in the formalization of mathematical models and clearing …
OPF model with dynamic security constraints: a state of the art review
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 …
static and dynamic security of the network are reviewed. Given the difficulty to solve non …