Solution of an economic dispatch problem through particle swarm optimization: a detailed survey-part I
A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …
single-objective economic dispatch (ED) problem. The dispatch problems even become …
[HTML][HTML] Optimal fuzzy based economic emission dispatch of combined heat and power units using dynamically controlled Whale Optimization Algorithm
The significance and purpose of this multi-objective Combined Heat and Power Economic
Emission Dispatch (MO-CHPEED) problem aims to determine the optimal generator output …
Emission Dispatch (MO-CHPEED) problem aims to determine the optimal generator output …
A new global particle swarm optimization for the economic emission dispatch with or without transmission losses
D Zou, S Li, Z Li, X Kong - Energy Conversion and Management, 2017 - Elsevier
A new global particle swarm optimization (NGPSO) algorithm is proposed to solve the
economic emission dispatch (EED) problems in this paper. NGPSO is different from the …
economic emission dispatch (EED) problems in this paper. NGPSO is different from the …
A novel hybrid model for six main pollutant concentrations forecasting based on improved LSTM neural networks
S Xu, W Li, Y Zhu, A Xu - Scientific Reports, 2022 - nature.com
In recent years, air pollution has become a factor that cannot be ignored, affecting human
lives and health. The distribution of high-density populations and high-intensity development …
lives and health. The distribution of high-density populations and high-intensity development …
Preliminary design and evaluation of large‐diameter superconducting cable toward GW‐class hybrid energy transfer of electricity, liquefied natural gas, and liquefied …
Y Chen, S Jiang, XY Chen, YF Wang… - Energy Science & …, 2020 - Wiley Online Library
Considering the temperature rises caused by the friction loss and heat leakage, long‐
distance and high‐capacity transportation of liquefied natural gas (LNG) is currently not very …
distance and high‐capacity transportation of liquefied natural gas (LNG) is currently not very …
Optimal task assignment for UAV swarm operations in hostile environments
This paper proposes the engagement model and optimal task assignment algorithm for
small-UAV swarm operations in hostile maritime environments. To alleviate the complexity of …
small-UAV swarm operations in hostile maritime environments. To alleviate the complexity of …
Optimized operation of hybrid system integrated with MHP, PV and PHS considering generation/load similarity
Renewable energy is widely used as a clean energy in the world, yet the intermittent of the
power generation from renewable energy power plants, resulting in poor quality of power …
power generation from renewable energy power plants, resulting in poor quality of power …
Economic load dispatch using adaptive social acceleration constant based particle swarm optimization
In this paper, an Adaptive Social Acceleration Constant based Particle Swarm Optimization
(ASACPSO) has been developed which uses the best value of social acceleration constant …
(ASACPSO) has been developed which uses the best value of social acceleration constant …
Day-ahead combined economic and emission dispatch with spinning reserve consideration using moth swarm algorithm for a data centre load
O Ajayi, R Heymann - Heliyon, 2021 - cell.com
Dynamic combined economic and emission dispatch is an important task in the power
system that examines the optimal allocation of power generation resources that yield the …
system that examines the optimal allocation of power generation resources that yield the …
Recurrent neural network for nonconvex economic emission dispatch
In this paper, an economic emission dispatch (EED) model is developed to reduce fuel cost
and environmental pollution emissions. Considering the development of new energy …
and environmental pollution emissions. Considering the development of new energy …