Carbon emission control is an urgent environmental issue that governments are paying increasing attention to. Improving carbon market transaction efficiency in the context of China’s power industry important for green growth, low transmission, and realization sustainable development goals. We used entropy-weighted Technique Order Preference by Similarity to Ideal Solution (TOPSIS) method this empirical study analyze industry. The results showed Beijing has highest efficiency, followed those...

It is essential to study the allocation of carbon emission quotas key high-carbon industries. Here, we used theoretical generation performance standard (GPS) evaluate inputs and outputs five major Chinese power groups. We predicted their 2017, 2020, 2030 performances using a grey prediction model based on 2011–2016 data, then applied GPS calculate target year distributions emissions, finally employing data envelopment analysis (DEA) effectiveness these allocations. The trading evaluations...

With the deterioration caused by environmental pollution, studies on low-carbon economy have received more attention. As far as we know, electricity production accounts for a large portion of total carbon emissions. Therefore, based panel data from 2005 to 2014, used non-radial directional distance function model envelope analysis (DEA) evaluate static product efficiency various provinces in China. Further, global Malmquist index was introduced analyze main factors. The relationship between...

The cement industry, as a high energy-consuming has been included in the carbon emissions trading system (ETS) context of neutrality goals. Benchmark allocation quotas may have significant impact on companies. To study this impact, we constructed dynamics (SD) model for company with three subsystems “demand and production”, “economic efficiency”, “carbon emission trading” based competitiveness theory. A index was established from SD model. Through computer simulation, influence annual...

Abstract This paper studies an optimization problem of antenna placement for multiple heading angles the target in a distributed multiple-input multiple-output (MIMO) radar system. An improved method to calculate system’s coverage area light changing is presented. The mathematically modelled as sequential decision compatibility with reinforcement learning solutions. A agent established, which uses long short-term memory (LSTM)-based proximal policy (PPO) core algorithm solve problem....

The sources of irregular to airline schedules are many, including crew absences, mechanical failures, and bad weather. When these unexpected events occur, airlines recover by replanning their operations. This paper introduces the application grey programming in rescheduling. arrival time crews variables at beginning flights resuming phrase, but few authors considered it. In this paper, a method is introduced solve rescheduling problem, A mathematical model for problem parameters presented...

In the study, method based on combination of analytic hierarchy process(AHP) and fuzzy theory is proposed to evaluate civil aviation airport security information management. Assessment indexes management are studied given, hierarchic tree formulated assessment On basis describing evaluation for management, model constructed process. Finally, case used testify effectiveness process method.

Usually the major airports have lots of air routes and scheduled flights. The intense competition turns passengers cargoes transport to in a multi-airport system. It takes operating loss many medium small airports. From view airports, this paper analyzed important factors choosing destinations, proposed new indicator - passenger traffic correlation. Finally, optional destinations were collocated with method Set Pair Analysis (SPA). Through case analysis Wuxi airport, validity was verified....

The optimization of check-in counter number and the efficiency system are common demand airport airline. former research on rarely involved use self-service counter, in view rate will continue to rise is likely become dominant mode future, This paper quantitative analysize relationship between efficiency, it give when optimal operation based queuing theory. Finally, combined with a typical airline flight plan data model results verify feasibility effectiveness method.

To airlines, the network profit is fundamental and only goal pursuit. When airlines operates airline network, it most direct means to ensure passenger flow on every route, in addition use large models, increase frequency, developing competitive fares will also attract more passengers. As for hub spoke there are flights transit flights, each side of varies with number nodes, order highlight scale economic benefit research influence edge flow, route very important.

The fundamental purpose of airline to operate network is profit. profit composed the total revenue and cost, in order reflect change characteristics profit, this article conducts simulation research from two dimensions such as nodes edge flow, which obtain correlation. experimental results show that, flow have mutual influence interaction, we should put their effects together study