基于LSSVM改進(jìn)模型的北京市能源消費(fèi)預(yù)測研究
[Abstract]:At present, the coordinated development of Beijing, Tianjin and Hebei has become the top development strategy of the country, and the industry coordinated development is the important advance work of the coordinated development of Beijing, Tianjin and Hebei. However, in the coordinated development of Beijing-Tianjin-Hebei industry, there are some problems, such as weak diffusion effect, overlapping industries, serious environmental pollution, low efficiency of comprehensive utilization of resources, etc. The contradiction between economic development and resource and environmental constraints has become the main contradiction that Beijing, Tianjin and Hebei industries are facing. As the core of the coordinated development of Beijing, Tianjin and Hebei, Beijing has been plagued by urban diseases such as population growth, traffic congestion and air pollution in recent years. In order to solve the economic, resource and environmental problems, energy consumption management is the key. This paper studies the influencing factors of Beijing's energy consumption and forecasts its development trend. According to the research results, it puts forward the promotion strategy of Beijing's energy consumption management under the background of the coordinated development of Beijing-Tianjin-Hebei, so as to solve the problem of "big city disease" in Beijing. The formulation of industrial transfer policy and the promotion of Beijing-Tianjin-Hebei coordinated development have important practical significance. Based on the historical data from 1995 to 2014, this paper takes the energy consumption of Beijing under the coordinated development of Beijing, Tianjin and Hebei as the research object, and analyzes the changes and the present situation of the energy consumption in Beijing. The main influencing factors of energy consumption in Beijing are studied and the development trend is forecasted accordingly. Firstly, on the basis of combing the current research situation at home and abroad, this paper analyzes and expounds the energy consumption and prediction theory. Secondly, based on the cooperative development strategy of Beijing, Tianjin and Hebei, it expounds the function orientation of Beijing. Based on the analysis of the energy consumption and its influencing factors in Beijing, and the analysis of the changes and reasons of each variable year by year, this paper uses the LMDI decomposition model to analyze the energy consumption of the tertiary industry and the energy consumption from the perspective of daily energy consumption. The energy consumption in Beijing is divided into six aspects: population effect, economic level effect, industrial structure effect, production energy consumption intensity, resident consumption effect and living energy consumption intensity. Quantificationally measuring the contribution of various factors to energy consumption, we can get that the positive driving factors mainly include population effect, economic level effect, resident consumption effect, negative driving factors mainly include industrial structure effect, production energy consumption intensity, Energy consumption intensity. According to the results, the influence mechanism of various factors on energy consumption is analyzed, and the prediction model of energy consumption is constructed by using the least squares support vector machine (LS-SVM) algorithm optimized by cuckoo algorithm. Finally, based on the coordinated development of Beijing-Tianjin-Hebei, and according to the historical situation of Beijing's development, the relevant planning policies define two different scenarios, the benchmark scenario and the effective coordinated development scenario. Different population, actual GDP, tertiary industry proportion, energy consumption intensity, resident consumption level and other parameters are set according to the different development level of different scenarios. Then the energy consumption of Beijing from 2015 to 2020 is predicted by using the forecasting model. The results are as follows: under the standard scenario, the total energy consumption of Beijing can reach 82.56 million tons of standard coal by 2020. In the effective coordinated development, the total amount of 78.94 million tons of standard coal. Finally, according to the research results, the promotion strategy of Beijing's energy consumption is put forward under the background of Beijing, Tianjin and Hebei coordinated development.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F206;F224
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 蘇素;楊騰;;中國能源消費(fèi)影響因素分析與預(yù)測——基于協(xié)整與誤差修正模型[J];生態(tài)經(jīng)濟(jì);2016年06期
2 付立東;張金鎖;馮雪;;GA-SA模型預(yù)測中國能源需求[J];系統(tǒng)工程理論與實(shí)踐;2015年03期
3 沈鐳;劉立濤;王禮茂;陳楓楠;張超;沈明;鐘帥;;2050年中國能源消費(fèi)的情景預(yù)測[J];自然資源學(xué)報;2015年03期
4 段宏波;朱磊;范英;;能源-環(huán)境-經(jīng)濟(jì)氣候變化綜合評估模型研究綜述[J];系統(tǒng)工程學(xué)報;2014年06期
5 朱文輝;宋鋒華;;中國能源消費(fèi)預(yù)測分析——ARIMA模型的運(yùn)用[J];克拉瑪依學(xué)刊;2014年05期
6 孫巍;赫永達(dá);;中國能源消費(fèi)與經(jīng)濟(jì)增長的因果分析——基于Divisia指數(shù)法和Toda-Yamamota檢驗(yàn)[J];暨南學(xué)報(哲學(xué)社會科學(xué)版);2014年05期
7 天津經(jīng)濟(jì)課題組;張麗恒;王黎明;虞冬青;孟力;曲寧;仲成春;;京津冀一體化的綜述與借鑒[J];天津經(jīng)濟(jì);2014年04期
8 孟曉艷;余予;張志富;李鋼;王帥;杜麗;;2013年1月京津冀地區(qū)強(qiáng)霧霾頻發(fā)成因初探[J];環(huán)境科學(xué)與技術(shù);2014年01期
9 吳堯萍;王遠(yuǎn);林曉梅;谷學(xué)明;趙卉卉;趙晨;;江蘇省能源需求預(yù)測及二氧化碳減排研究[J];長江流域資源與環(huán)境;2013年07期
10 楊波;譚章祿;;基于Logistic模型的中國國家能源消費(fèi)總量預(yù)測研究[J];科技管理研究;2013年12期
相關(guān)博士學(xué)位論文 前2條
1 王文超;中國省區(qū)能源消費(fèi)與二氧化碳排放驅(qū)動因素分析及預(yù)測研究[D];大連理工大學(xué);2013年
2 張麗峰;中國能源供求預(yù)測模型及發(fā)展對策研究[D];首都經(jīng)濟(jì)貿(mào)易大學(xué);2006年
相關(guān)碩士學(xué)位論文 前3條
1 王健;基于時間序列分析的寧夏能源消費(fèi)預(yù)測[D];寧夏大學(xué);2015年
2 鄧鴻鵠;北京市能源消費(fèi)預(yù)測方法比較研究[D];北京林業(yè)大學(xué);2013年
3 張曉梅;能源消費(fèi)預(yù)測及其在能源管理中應(yīng)用的研究[D];大連理工大學(xué);2006年
,本文編號:2288519
本文鏈接:http://sikaile.net/jingjifazhanlunwen/2288519.html