標(biāo)題: Titlebook: Big Data in Energy Economics; Hui Liu,Nikolaos Nikitas,Rui Yang Book 2022 Science Press 2022 Energy Economy.Big Data Analysis.Time Series [打印本頁(yè)] 作者: Colossal 時(shí)間: 2025-3-21 19:36
書目名稱Big Data in Energy Economics影響因子(影響力)
書目名稱Big Data in Energy Economics影響因子(影響力)學(xué)科排名
書目名稱Big Data in Energy Economics網(wǎng)絡(luò)公開度
書目名稱Big Data in Energy Economics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data in Energy Economics被引頻次
書目名稱Big Data in Energy Economics被引頻次學(xué)科排名
書目名稱Big Data in Energy Economics年度引用
書目名稱Big Data in Energy Economics年度引用學(xué)科排名
書目名稱Big Data in Energy Economics讀者反饋
書目名稱Big Data in Energy Economics讀者反饋學(xué)科排名
作者: 全國(guó)性 時(shí)間: 2025-3-22 00:10 作者: 亞當(dāng)心理陰影 時(shí)間: 2025-3-22 02:01
Reinforcement Or Transformatione international crude oil market. The experiment compares the prediction capabilities of bi-directional long short-term memory network and deep belief network. Finally, this chapter provides an econometric analysis of the international crude oil market, big data technologies, and policy recommendations for developing the energy economy.作者: Delectable 時(shí)間: 2025-3-22 07:18
African Marriages in Transformationfects of decomposition method and Boosting method on model prediction accuracy are compared. Finally, the chapter concludes with an econometric analysis of international coal markets and big data technologies, and proposes policy recommendations for energy economic development in this context.作者: 錯(cuò) 時(shí)間: 2025-3-22 08:56
Introduction,e scope of the book is summarized. This book combines energy economics and big data modeling analysis in energy conversion and management, and comprehensively introduces the relevant theories, key technologies, and application cases of the smart energy economy.作者: BURSA 時(shí)間: 2025-3-22 15:33
Big Data Analysis of Energy Economics in Oil Market,e international crude oil market. The experiment compares the prediction capabilities of bi-directional long short-term memory network and deep belief network. Finally, this chapter provides an econometric analysis of the international crude oil market, big data technologies, and policy recommendations for developing the energy economy.作者: d-limonene 時(shí)間: 2025-3-22 18:00
Big Data Analysis of Energy Economics in Coal Market,fects of decomposition method and Boosting method on model prediction accuracy are compared. Finally, the chapter concludes with an econometric analysis of international coal markets and big data technologies, and proposes policy recommendations for energy economic development in this context.作者: reperfusion 時(shí)間: 2025-3-23 00:57
Book 2022ories, key technologies, and application examples of the smart energy economy. With the help of time series big data modeling results, energy economy managers develop reasonable and feasible pricing mechanisms of electricity price and improve the absorption capacity of the power grid. In addition, t作者: cancer 時(shí)間: 2025-3-23 02:37
Claude-Jean Allègre,Gil Michard technologies. In this chapter, the concept of EI is first introduced, and comparisons of the conventional energy system and new energy system are revealed. Then, the integration of different systems with energy system is discussed. Meanwhile, specific approaches with information and communication technologies are introduced.作者: certain 時(shí)間: 2025-3-23 07:08
Introduction to General Relativityr applications is analyzed for China, America, and Europe. Although the wind energy applications in these regions vary, they all show promising prospects. Wind power is expanding dramatically to meet the growing energy needs of the world.作者: Incisor 時(shí)間: 2025-3-23 12:37 作者: 嬉耍 時(shí)間: 2025-3-23 17:04
Claude-Jean Allègre,Gil Micharde mechanism and qualitative analysis are made on the root of the difficulty of clean energy consumption in typical regions of China. Finally, the mechanisms of clean energy consumption affecting economic growth are studied.作者: 他姓手中拿著 時(shí)間: 2025-3-23 21:19
Big Data Analysis of Energy Economics in Wind Power Market,r applications is analyzed for China, America, and Europe. Although the wind energy applications in these regions vary, they all show promising prospects. Wind power is expanding dramatically to meet the growing energy needs of the world.作者: Analogy 時(shí)間: 2025-3-24 01:46 作者: defendant 時(shí)間: 2025-3-24 05:19
Optimization Analysis of Clean Energy Transformation,e mechanism and qualitative analysis are made on the root of the difficulty of clean energy consumption in typical regions of China. Finally, the mechanisms of clean energy consumption affecting economic growth are studied.作者: 披肩 時(shí)間: 2025-3-24 07:49
Book 2022ect of energy saving and emission reduction while reasonably reducing the electricity expenditure..This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy..作者: hazard 時(shí)間: 2025-3-24 11:15 作者: 突變 時(shí)間: 2025-3-24 15:58
Hui Liu,Nikolaos Nikitas,Rui YangEvaluates science technologies by a large number of simulation experiments.Introduces state-of-art data science methods for big data analysis of the energy economy.Provides econometric analysis for th作者: padding 時(shí)間: 2025-3-24 21:34 作者: 死亡率 時(shí)間: 2025-3-25 01:36
https://doi.org/10.1007/978-981-16-8965-9Energy Economy; Big Data Analysis; Time Series Modeling; Artificial Intelligence; Energy Policy; Energy C作者: 阻止 時(shí)間: 2025-3-25 03:57 作者: Tremor 時(shí)間: 2025-3-25 11:18
Shelene Gentz,Mónica Ruiz-Casaress and the role of big data in it. Then the concept, significance, and key technologies of the energy internet are described. Big data analysis techniques in the field of energy economics such as data pre-processing, time series forecasting, and non-intrusive load identification are presented. Common作者: clarify 時(shí)間: 2025-3-25 14:11 作者: Charlatan 時(shí)間: 2025-3-25 18:20
African Marriages in Transformationect the country‘s investment, consumption, import and export, and overall economic development. This chapter introduces the important role of coal in the field of energy economics and analyzes the factors that influence coal price fluctuations. Then, through correlation analysis, this chapter select作者: 指數(shù) 時(shí)間: 2025-3-25 20:42 作者: 不要嚴(yán)酷 時(shí)間: 2025-3-26 00:48 作者: 演講 時(shí)間: 2025-3-26 06:28 作者: 粘土 時(shí)間: 2025-3-26 10:13
Genetic Algorithm Optimization in C/C++,sion reduction are closely related to the sustainable development of the urban economy. Load identification technology is one of the core technical difficulties to be solved in realizing the overall layout planning of the smart power grid. Statistics show that with the information provided by the no作者: 做作 時(shí)間: 2025-3-26 14:15
Claude-Jean Allègre,Gil Michardn efficiency, optimizing consumption patterns, and cutting emissions, has become an inevitable choice for countries around the world to promote sustainable economic development. This chapter summarizes the effective practices of developed countries in promoting clean energy transformation. Combined 作者: avulsion 時(shí)間: 2025-3-26 19:26 作者: 不能強(qiáng)迫我 時(shí)間: 2025-3-26 23:07 作者: Recess 時(shí)間: 2025-3-27 03:15
Big Data Analysis of Energy Economics in Oil Market, economic significance and social value of forecasting crude oil prices are first introduced. Then the factors that affect the fluctuation in crude oil prices are expounded, including the relationship between supply and demand, economic development, policy formulation, global emergencies, etc. Next,作者: 漸變 時(shí)間: 2025-3-27 06:07
Big Data Analysis of Energy Economics in Coal Market,ect the country‘s investment, consumption, import and export, and overall economic development. This chapter introduces the important role of coal in the field of energy economics and analyzes the factors that influence coal price fluctuations. Then, through correlation analysis, this chapter select作者: Mercantile 時(shí)間: 2025-3-27 12:28
Big Data Analysis of Energy Economics in Wind Power Market,f wind energy. The wind power market also contains huge development prospects and opportunities. This chapter focuses on wind energy to carry out big data analysis of energy economy. To realize the trend analysis of wind energy, this chapter first proposes a spatial scale wind energy prediction fram作者: 殺子女者 時(shí)間: 2025-3-27 15:36
Big Data Analysis of Energy Economics in Photovoltaic Power Generation Market, help for alleviating the energy crisis. Developing photovoltaic power generation can exploit the untapped and abundant solar energy resources and contribute to regional economic development. However, photovoltaic power generation systems still face many challenges such as randomness, uncertainty, a作者: CAND 時(shí)間: 2025-3-27 18:34
Big Data Analysis of Power Market Energy Economics,s in the city electricity price, the city electricity price metering charge adjustment scheme is put forward. Finally, the feasibility of the method is verified by experiments, and the experimental results are summarized. Compared with empirical mode decomposition and wavelet packet decomposition, t作者: Ingratiate 時(shí)間: 2025-3-27 22:31
Big Data Management of Smart City Energy Conservation and Emission Reduction,sion reduction are closely related to the sustainable development of the urban economy. Load identification technology is one of the core technical difficulties to be solved in realizing the overall layout planning of the smart power grid. Statistics show that with the information provided by the no作者: 琺瑯 時(shí)間: 2025-3-28 06:09
Optimization Analysis of Clean Energy Transformation,n efficiency, optimizing consumption patterns, and cutting emissions, has become an inevitable choice for countries around the world to promote sustainable economic development. This chapter summarizes the effective practices of developed countries in promoting clean energy transformation. Combined 作者: 縮短 時(shí)間: 2025-3-28 08:14 作者: 踉蹌 時(shí)間: 2025-3-28 14:22 作者: GROUP 時(shí)間: 2025-3-28 14:54 作者: 衣服 時(shí)間: 2025-3-28 20:20
Big Data Management of Smart City Energy Conservation and Emission Reduction,transparency of the intelligent target of distribution network and more guarantee of urban power supply. The implementation of smart grid technology helps to improve the overall operational efficiency of the distribution network, achieve the effect of all-around monitoring, and improve the quality o作者: Coronation 時(shí)間: 2025-3-28 23:36
https://doi.org/10.1007/978-3-540-73190-0sis is used to analyze the relationship between energy consumption and national economy. Through the establishment of grey correlation model, the experiment shows that, different industries and different energy types have different correlations with China‘s economic growth. In terms of metering and 作者: Fibrinogen 時(shí)間: 2025-3-29 06:51
Genetic Algorithm Optimization in C/C++,transparency of the intelligent target of distribution network and more guarantee of urban power supply. The implementation of smart grid technology helps to improve the overall operational efficiency of the distribution network, achieve the effect of all-around monitoring, and improve the quality o
