Abstract When investing in new stocks, it is difficult to predict returns and risks a general way without the support of historical data. Therefore, portfolio optimization model with an uncertain rate return proposed. On this basis, prospect theory used for reference, then established from perspective expected utility maximization. An improved gray wolf (GWO) algorithm designed because complex ...

Abstract With the rapid development of modern wireless technology, it is necessary to continuously optimize microwave devices meet higher requirements communication systems. In this paper, we propose a device optimization method based on extreme learning machine (ELM) and gray wolf optimizer (GWO). adopt GWO parameters ELM establish mapping relationships between design their responses. Accordin...

Landslide displacement prediction is essential to establish the early warning system (EWS). According dynamic characteristics of landslide evolution and shortcomings traditional static model, a model based on long short-term memory (LSTM) neural networks was proposed. Meanwhile, Variational mode decomposition (VMD) theory used decompose cumulative triggering factors, which not only give clear p...

For remote places having less-strong wind, single resources based renewable energy system (RES) with battery storage can sustainably and economically generate electrical energy. There is hardly any literature on optimal sizing of such RES for very low load demand situation. The objective of this study is to techno-economically optimize the system design of a Photovoltaic (PV)-battery storage RE...

Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of the metaheuristic algorithms with poor exploration and exploitation. In this paper, exploration and ...

In this paper, the theory and modeling of large scale photovoltaic (PV) in the power grid and its effect on power system stability are studied. In this work, the basic module, small signal modeling and mathematical analysis of the large scale PV jointed multi-machine are demonstrated. The principal portion of the paper is to reduce the low frequency fluctuations by tuned stabilizer in the atten...

<span lang="EN-US">Renewable energy generation is increasingly attractive since it <br /> non-polluting and viable. Recently, the technical economic performance of power system networks has been enhanced by integrating renewable sources (RES). This work focuses on size solar wind production replacing thermal to decrease cost losses a big electrical system. The Weibull Lognormal prob...

The non-orthogonal multiple access (NOMA) scheme has proven to be a potential candidate enhance spectral potency and massive connectivity for 5G wireless networks. To achieve effective system performance, user grouping, power control, decoding order are considered fundamental factors. In this regard, joint combinatorial problem consisting of grouping control is considered, obtain high spectral-...