Due to the inflexibility of cogeneration power plants and uncertainty wind production, excess distribution network brings challenges grid operation. This paper introduced an improved moth-flame optimization algorithm meet challenge energy complementary dispatching. The proposed adopts three effective strategies, namely inertia weight, unified initialization, spiral position update strategy, whi...

With the increasing demand for electrical energy, steps are needed to increase production of energy and one them is study PLTG fuel. The fuel aims analyze ratio generated electric power costs by PLTG. benefit this know how much produced, so that it can be used as a reference determine which suitable use. quantitative descriptive analysis method where qualitative data from calculation results wi...

Fat oxidation during exercise is associated with cardio-metabolic benefits, but the extent of which whole-body modality elicits greatest fat remains unclear. We investigated effects treadmill, elliptical and rowing on in healthy individuals. Nine males participated three, peak oxygen consumption tests, a ergometer. Indirect calorimetry was used to assess maximal (V̇O2peak), (MFO) rates, intensit...

An enhanced version of the moth flame optimization algorithm is proposed in this paper for rapid and precise parameter extraction solar cells. The OBLVMFO algorithm’s novelty lies primarily improved search strategies, where two modifications are to maintain a proper balance between exploration exploitation. Firstly, an opposition-based learning mechanism employed initialize population purpose e...

Epidemiological studies have shown an association between consumption of disinfected drinking water and adverse health outcomes. The chemicals used to disinfect water react with occurring organic matter and anthropogenic contaminants in the source water, resulting in the formation of disinfection by-products (DBPs). The observations that some DBPs are carcinogenic in animal models have raised p...

Rolling bearings are critical in maintaining smooth operation of rotating machinery and considerably influence its reliability. The signals collected from rolling field conditions often subjected to noise, creating a challenge extract weaker fault features. This paper proposes bearing diagnosis method that addresses the above-mentioned problem through moth-flame optimization algorithm optimized...

The optimal power flow (OPF) is a practical problem in system with complex characteristics such as large number of control parameters and also multi-modal non-convex objective functions inequality nonlinear constraints. Thus, tackling the OPF becoming major priority for engineers researchers. Many metaheuristic algorithms different search strategies have been developed to solve problem. Althoug...

Extreme Learning Machine (ELM) is popular in batch learning, sequential and progressive due to its speed, easy integration, generalization ability. While, Traditional ELM cannot train massive data rapidly efficiently memory residence, high time space complexity. In ELM, the hidden layer typically necessitates a huge number of nodes. Furthermore, there no certainty that arrangement weights biase...

Underwater wireless sensor networks (UWSNs) are promising, emerging technologies for the applications in oceanic research. UWSN contains high number of nodes and autonomous underwater vehicles that deployed to perform data transmission sea. In networks, sensors placed buoyant which highly vulnerable selfish behavioural attack. this paper, major challenges finding secure optimal route navigation...