Big data driven smart energy management: From big data to big insights
K Zhou, C Fu, S Yang - Renewable and sustainable energy reviews, 2016 - Elsevier
Large amounts of data are increasingly accumulated in the energy sector with the
continuous application of sensors, wireless transmission, network communication, and cloud …
continuous application of sensors, wireless transmission, network communication, and cloud …
Application of computational intelligence techniques for load shedding in power systems: A review
Recent blackouts around the world question the reliability of conventional and adaptive load
shedding techniques in avoiding such power outages. To address this issue, reliable …
shedding techniques in avoiding such power outages. To address this issue, reliable …
[HTML][HTML] A hybrid Harris Hawks optimizer for economic load dispatch problems
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …
Combined heat and power economic dispatch problem solution using particle swarm optimization with time varying acceleration coefficients
In this paper a novel time varying acceleration coefficients particle swarm optimization
(TVAC-PSO) algorithm is implemented to solve combined heat and power economic …
(TVAC-PSO) algorithm is implemented to solve combined heat and power economic …
A new metaheuristic algorithm based on shark smell optimization
In this article, a new metaheuristic optimization algorithm is introduced. This algorithm is
based on the ability of shark, as a superior hunter in the nature, for finding prey, which is …
based on the ability of shark, as a superior hunter in the nature, for finding prey, which is …
A new solution to the non-convex economic load dispatch problems using phasor particle swarm optimization
M Gholamghasemi, E Akbari, MB Asadpoor… - Applied Soft …, 2019 - Elsevier
The economic load dispatch (ELD) problems considering nonlinear characteristics such as
valve point effects (VPE), multiple fuels (MF), transmission network losses, ramp rate limits …
valve point effects (VPE), multiple fuels (MF), transmission network losses, ramp rate limits …
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 …
Economic load dispatch using memetic sine cosine algorithm
In this paper, the economic load dispatch (ELD) problem which is an important problem in
electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of …
electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of …
Advances and bibliographic analysis of particle swarm optimization applications in electrical power system: concepts and variants
S Tiwari, A Kumar - Evolutionary Intelligence, 2023 - Springer
Power system applications often require solving one or multiple optimization problems
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …
Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems
This paper presents a novel heuristic algorithm for solving economic dispatch (ED)
problems, by employing iteration particle swarm optimization with time varying acceleration …
problems, by employing iteration particle swarm optimization with time varying acceleration …