Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

Optimal generation scheduling of hydro-based power units has a significant place in electric
power systems, which considerably has been dealt with as a subject of investigations for …

In this paper, at first, a more realistic formulation of the economic dispatch (ED) problem is
proposed, which considers more practical constraints and nonlinear characteristics than …

This paper presents a heuristic optimization methodology, namely, Bacterial foraging PSO-
DE (BPSO-DE) algorithm by integrating Bacterial Foraging Optimization Algorithm (BFOA) …

This paper presents an algorithm for solving security constrained optimal power flow
problem through the application of evolutionary programming (EP). The controllable system …

This paper presents Reinforcement Learning (RL) approaches to Economic Dispatch
problem. In this paper, formulation of Economic Dispatch as a multi stage decision making …

Feature selection plays an essential role in data preprocessing, which can extract valuable
information from extensive data, thereby enhancing the performance of machine learning …

The main goal behind the combined economic emission dispatch (CEED) is to reduce the
costs incurred upon fuel and emission for the generating units available without any …

Power systems are very large and complex, it can be influenced by many unexpected events
this makes Power system optimization problems difficult to solve, hence methods for solving …

This paper developed a fuzzy adaptive chaotic ant swarm optimization (FCASO) algorithm
for solving the economic dispatch (ED) problems of thermal generators in power systems …