云南省某州(市)能源預(yù)測(cè)模型的研究
[Abstract]:Energy is the basis of the development of human society. The total amount of energy reserves in China is relatively large, but the energy per capita is insufficient, the energy prospect is still not optimistic. The over-exploitation of energy causes the decrease of energy reserves and serious damage to the ecological environment. After the reform and opening up, China attaches great importance to the energy industry issues and actively take appropriate measures. Although it has made certain achievements in the energy field, it has also brought many problems, such as relatively low energy use efficiency. The contradiction between energy supply and demand and environmental pollution are becoming more and more serious, which hinder the sustainable development of society and economy to a certain extent. Therefore, it is necessary to speed up the transformation of energy development mode, adjust the energy consumption structure and energy production structure, and build a national economic system and a resource-saving society with low consumption of resources, less environmental pollution, and good economic benefits. Scientific prediction and evaluation of energy production and consumption, supervision and planning of energy use. It is of great significance to promote the increase of GDP in Honghe Prefecture and to build a harmonious society and a saving society. This paper analyzes the current situation of energy consumption in Honghe Prefecture from the aspects of total energy consumption, industrial structure and key energy-consuming industries, and establishes a factorization method to analyze the economic factors. The main change characteristics of energy consumption in Honghe Prefecture are analyzed in detail from three aspects: technical factors and structural factors. On this basis, the total energy consumption of Honghe Prefecture is predicted by factor analysis, multivariate linear regression model and exponential smoothing method. The error is analyzed and combined with the advantages of each model. The energy demand is modeled and forecasted by using the divorce coefficient variable weight combination model. Furthermore, the energy consumption in Honghe Prefecture is predicted with higher prediction accuracy and better reliability. According to the overall consumption situation of energy industry in Honghe Prefecture, the main changing characteristics in the process of energy consumption and the forecast results obtained by establishing a prediction model for total energy consumption, the problems existing in the development of energy industry are pointed out. The detailed countermeasures and suggestions for the future development of energy industry in Honghe Prefecture are put forward. In the future, Honghe Prefecture must optimize its industrial structure, change its mode of economic growth, rely on scientific and technological progress and innovation to improve its energy utilization rate, strengthen the government's macro-control, and improve its market-oriented energy system. In order to achieve the effective use of energy and sustainable development.
【學(xué)位授予單位】:昆明理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:F426.2
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 馬丁;單葆國(guó);;2030年世界能源展望——基于全球能源展望報(bào)告的對(duì)比研究[J];中國(guó)能源;2017年02期
2 林衛(wèi)斌;;2017年能源經(jīng)濟(jì)形勢(shì)展望——能源消費(fèi)增速放緩,生產(chǎn)回暖,進(jìn)口增速下降[J];中國(guó)石油和化工;2017年02期
3 井然;;對(duì)中國(guó)能源綠色轉(zhuǎn)型的基礎(chǔ)性認(rèn)識(shí)——專訪中國(guó)電力企業(yè)聯(lián)合會(huì)行業(yè)發(fā)展與環(huán)境資源部副主任薛靜[J];中國(guó)電力企業(yè)管理;2017年04期
4 Zhen Hong;Rui Wang;Xile Li;;A Clustering-tree Topology Control Based on the Energy Forecast for Heterogeneous Wireless Sensor Networks[J];IEEE/CAA Journal of Automatica Sinica;2016年01期
5 沈鐳;劉立濤;王禮茂;陳楓楠;張超;沈明;鐘帥;;2050年中國(guó)能源消費(fèi)的情景預(yù)測(cè)[J];自然資源學(xué)報(bào);2015年03期
6 趙春富;劉耕源;陳彬;;能源預(yù)測(cè)預(yù)警理論與方法研究進(jìn)展[J];生態(tài)學(xué)報(bào);2015年07期
7 莫穎春;段波;王文榮;;中國(guó)產(chǎn)業(yè)結(jié)構(gòu)變遷對(duì)經(jīng)濟(jì)增長(zhǎng)和波動(dòng)的影響[J];現(xiàn)代商業(yè);2014年12期
8 吉平;周孝信;宋云亭;馬世英;李柏青;;區(qū)域可再生能源規(guī)劃模型述評(píng)與展望[J];電網(wǎng)技術(shù);2013年08期
9 余小蘭;姚永忠;;BP神經(jīng)網(wǎng)絡(luò)技術(shù)在臨床診斷中的應(yīng)用[J];現(xiàn)代醫(yī)學(xué);2012年02期
10 陶然;蔡云澤;樓振飛;劉衛(wèi)星;;國(guó)內(nèi)外能源預(yù)測(cè)模型和能源安全評(píng)價(jià)體系研究綜述[J];上海節(jié)能;2012年01期
相關(guān)博士學(xué)位論文 前1條
1 劉衛(wèi)星;可持續(xù)發(fā)展的上海能源戰(zhàn)略研究[D];上海大學(xué);2008年
相關(guān)碩士學(xué)位論文 前10條
1 張雨;云南省上市公司成長(zhǎng)性分析[D];云南財(cái)經(jīng)大學(xué);2016年
2 田振偉;城市能源預(yù)測(cè)模型的研究與應(yīng)用[D];昆明理工大學(xué);2015年
3 郭曉娜;基于組合模型的遼寧能源需求預(yù)測(cè)及政策研究[D];東北財(cái)經(jīng)大學(xué);2012年
4 陶然;上海能源預(yù)測(cè)模型及能源利用效率評(píng)價(jià)指標(biāo)體系研究[D];上海交通大學(xué);2012年
5 劉士彬;我國(guó)能源消費(fèi)需求分析與預(yù)測(cè)研究[D];中國(guó)海洋大學(xué);2011年
6 王晶晶;北京市農(nóng)村能源消費(fèi)狀況的統(tǒng)計(jì)分析[D];河北大學(xué);2010年
7 蘆森;基于組合模型的中國(guó)能源需求預(yù)測(cè)[D];成都理工大學(xué);2010年
8 李雪慧;河南省在工業(yè)化和城市化進(jìn)程中的能源需求預(yù)測(cè)[D];廈門大學(xué);2009年
9 陳亞妮;北京市能源消費(fèi)的結(jié)構(gòu)與動(dòng)態(tài)分析研究[D];北京化工大學(xué);2008年
10 魏廣明;區(qū)域能源需求預(yù)測(cè)及能源發(fā)展策略選擇[D];天津大學(xué);2007年
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