An effective evaluation on fault detection in solar panels
JA Dhanraj, A Mostafaeipour, K Velmurugan… - Energies, 2021 - mdpi.com
The world's energy consumption is outpacing supply due to population growth and
technological advancements. For future energy demands, it is critical to progress toward a …
technological advancements. For future energy demands, it is critical to progress toward a …
Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithms
The accelerating increment of greenhouse gas (GHG) concentration in the atmosphere
already reached an alarming level, and nowadays its adverse impacts on the living …
already reached an alarming level, and nowadays its adverse impacts on the living …
Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance …
With the increase in the world population and the rapid developments in technology, the
energy demands on modern electricity grids are also rising. In order to meet these demands …
energy demands on modern electricity grids are also rising. In order to meet these demands …
Fault diagnosis of photovoltaic systems using artificial intelligence: A bibliometric approach
EH Sepúlveda-Oviedo, L Travé-Massuyès, A Subias… - Heliyon, 2023 - cell.com
Conventional fault detection methods in photovoltaic systems face limitations when dealing
with emerging monitoring systems that produce vast amounts of high-dimensional data …
with emerging monitoring systems that produce vast amounts of high-dimensional data …
[PDF][PDF] A novel hybrid multi-objective evolutionary algorithm for optimal power flow in wind, PV, and PEV systems
In this paper, a new hybrid decomposition-based multi-objective evolutionary algorithm
(MOEA) is proposed for the optimal power flow (OPF) problem including Wind, PV, and …
(MOEA) is proposed for the optimal power flow (OPF) problem including Wind, PV, and …
Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem
In this paper, the multi-objective AC-DC optimal power flow (MO/AC-DC OPF) problem in the
presence of renewable energy sources (RESs), flexible AC transmission system (FACTS) …
presence of renewable energy sources (RESs), flexible AC transmission system (FACTS) …
Optimal operation and planning of hybrid AC/DC power systems using multi-objective grasshopper optimization algorithm
Optimal power flow (OPF) in a hybrid alternating current and multi-terminal high-voltage
direct current (AC-MTHVDC) grid is currently one of the most popular optimization problems …
direct current (AC-MTHVDC) grid is currently one of the most popular optimization problems …
Improved adaptive gaining-sharing knowledge algorithm with FDB-based guiding mechanism for optimization of optimal reactive power flow problem
Optimal reactive power flow (ORPF) is of great importance for the electrical reliability and
economic operation of modern power systems. The integration of distributed generations …
economic operation of modern power systems. The integration of distributed generations …
AC Optimal Power Flow in Power Systems with Renewable Energy Integration: A Review of Formulations and Case Studies
The primary goal of a power system is to provide consumers with reliable access to power at
the most economical cost. Under the declining costs of renewable energy sources, the …
the most economical cost. Under the declining costs of renewable energy sources, the …
[HTML][HTML] Review on optimal power flow in a hybrid AC/DC distribution network
With the increasing of DC loads in the distribution networks and calls for carbon emission
reduction, the hybrid AC/DC distribution network (HDN) is a profound solution to increase …
reduction, the hybrid AC/DC distribution network (HDN) is a profound solution to increase …