From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …

The accelerating increment of greenhouse gas (GHG) concentration in the atmosphere
already reached an alarming level, and nowadays its adverse impacts on the living …

The integration of large-scale wind power introduces issues in modern power systems
operations due to its strong randomness and volatility. These issues can be resolved via …

Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

With the growth of population, many countries face the challenge of supplying energy
resources. One approach to managing and planning these resources is to predict energy …

Energy consumption is on the rise in develo** economies. In order to improve present and
future energy supplies, forecasting energy demands is essential. However, lack of accurate …

Reliable energy consumption forecasting can provide effective decision-making support for
planning development strategies to energy enterprises and for establishing national energy …

Viscosity of nanofluids can significantly affect pum** power, pressure drop, workability of
the nanofluid as well as its convective heat transfer coefficient. Experimental measurements …