Metaheuristic optimization is a higher-level optimization that uses a simple and efficient
procedure to solve optimization problems. Metaheuristic can understand higher-level …

Contamination in insulators results in an increase in surface conductivity. With higher
surface conductivity, insulators are more vulnerable to discharges that can damage them …

Incorporating demand-side management (DSM) into residential energy guarantees dynamic
electricity management in the residential domain by allowing consumers to make early …

In recent days, many novel techniques and technologies are developing for power
generation. Most of them are in its developed phase but its efficiency and reliability are low …

Power system demand forecasting is a crucial task in the power system engineering field.
This is due to the fact that most system planning and operation activities basically rely on …

The occupancy level of the room in a building is responsible for consumption of electrical
power within the building. The occupancy level in a room depend on several controllable …

Genetic algorithm is a one of the frequently used soft computing technique which is used for
optimization of real time problems. Genetic is gaining its popularity because of its robustness …

The overall cost of a building depends on several variables such as economical, project
physical and financial variables. The CCB (construction cost of building) also depends on …

Present chapter embodies an introductory overview of optimization and metaheuristic
algorithms. An optimization problem consists of maximizing or minimizing a real function by …

To serve the load demands in the expanding power system with the available transmission
system, many oscillations are introducing into the consolidated power network. These …