Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …

Building energy consumption prediction is important for sustainable building and city
construction. However, traditional data-driven prediction methods weakly consider real-time …

To enhance the low reliability of supply that has resulted in an increasingly serious energy
crisis and environmental problems, extensive research on new clean renewable energy and …

The wild horse optimizer (WHO) is a novel metaheuristic algorithm, which has been
successfully applied to solving continuous engineering problems. Considering the …

In the present study, a novel approach for easy manufacturing of functionally graded
composite material is developed. Then, glass fiber-ZrO 2-epoxy based composite sample is …

针对求解TSP 问题, 提出一种新的元启发式算法离散野马优化算法(DWHO),
应用最小位置匹配值法(MPMV) 对求解结果进行离散化解码; 为提高算法搜索能力 …

Load forecasting plays a crucial role in mitigating risks for utilities by predicting future usage
of commodity markets transmission or supplied by the utility. To achieve this, various …

This numerical investigation focuses on the prediction of scroll type expander's performance
with different working fluids in low temperature organic Rankine cycle system. The scroll …

In this research paper, discussed about how different mechanical parameter like forces,
stress etc. affect the deformation of use aluminum square tube in modified mattresses during …

The ever-increasing demand for energy necessitates innovative solutions, particularly within
the built environment. Buildings, often exceeding 30% of global energy consumption …