The efforts to revolutionize electric power generation and produce clean and sustainable
electricity have led to the exploration of renewable energy systems (RES). This form of …

Wind resource is one of the most promising renewable energy, which has become a suitable
replacement for fossil fuels. Optimizing the transferring wind energy from a wind turbine is …

In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for
combined cycle power plant power output estimation is presented. Dataset used in this …

Nature-inspired algorithms use random exploration and exploitation tactics as a searching
strategy to explore a search space. These two searching schemes are harmonized in nature …

Compressed natural gas (CNG) main stations are critical components of the urban energy
infrastructure for CNG distribution. Due to its high electrification and significant power …

The instability of wind power poses a great threat to the security of the power system, and
accurate wind power prediction is beneficial to the large-scale entry of wind power into the …

Scientific and accurate wind predictions are the basis for exploiting and utilizing wind
energy. Combining the VMD and KELM, this research proposes a new hybrid model to …

In this paper, optimal load dispatch problem under competitive electric market (OLDCEM) is
solved by the combination of cuckoo search algorithm (CSA) and a new constraint handling …