EconPapers    
Economics at your fingertips  
 

Details about Lu-Tao Zhao

Workplace:Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, (more information at EDIRC)

Access statistics for papers by Lu-Tao Zhao.

Last updated 2024-06-09. Update your information in the RePEc Author Service.

Short-id: pzh1113


Jump to Journal Articles

Working Papers

2014

  1. The fluctuations of China's energy intensity: Biased technical change
    CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology Downloads View citations (15)
    See also Journal Article The fluctuations of China’s energy intensity: Biased technical change, Applied Energy, Elsevier (2014) Downloads View citations (10) (2014)

2013

  1. Platform for China Energy & Environmental Policy Analysis: A general design and its application
    CEEP-BIT Working Papers, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology Downloads View citations (6)

Journal Articles

2024

  1. How does carbon market interact with energy and sectoral stocks? Evidence from risk spillover and wavelet coherence
    Journal of Commodity Markets, 2024, 33, (C) Downloads View citations (1)
  2. The impact of joint events on oil price volatility: Evidence from a dynamic graphical news analysis model
    Economic Modelling, 2024, 130, (C) Downloads

2023

  1. Dynamic impacts of online investor sentiment on international crude oil prices
    Resources Policy, 2023, 82, (C) Downloads View citations (3)
  2. Forecasting oil inventory changes with Google trends: A hybrid wavelet decomposer and ARDL-SVR ensemble model
    Energy Economics, 2023, 120, (C) Downloads View citations (4)
  3. Rural photovoltaic projects substantially prompt household energy transition: Evidence from China
    Energy, 2023, 275, (C) Downloads View citations (8)

2022

  1. A novel time-varying FIGARCH model for improving volatility predictions
    Physica A: Statistical Mechanics and its Applications, 2022, 589, (C) Downloads View citations (2)

2021

  1. How will China's coal industry develop in the future? A quantitative analysis with policy implications
    Energy, 2021, 235, (C) Downloads View citations (12)
  2. Multi-attribute decision making: An innovative method based on the dynamic credibility of experts
    Applied Mathematics and Computation, 2021, 393, (C) Downloads View citations (2)
  3. Predicting Oil Prices: An Analysis of Oil Price Volatility Cycle and Financial Markets
    Emerging Markets Finance and Trade, 2021, 57, (4), 1068-1087 Downloads View citations (2)

2020

  1. Forecasting Short-Term Oil Price with a Generalised Pattern Matching Model Based on Empirical Genetic Algorithm
    Computational Economics, 2020, 55, (4), 1151-1169 Downloads View citations (2)
  2. How Does Internet Information Affect Oil Price Fluctuations? Evidence from the Hot Degree of Market
    Discrete Dynamics in Nature and Society, 2020, 2020, 1-18 Downloads
  3. Investigating the significant variation of coal consumption in China in 2002-2017
    Energy, 2020, 207, (C) Downloads View citations (10)
  4. Oil Price Forecasting Using a Time-Varying Approach
    Energies, 2020, 13, (6), 1-16 Downloads View citations (3)

2019

  1. Forecasting Oil Price Using Web-based Sentiment Analysis
    Energies, 2019, 12, (22), 1-18 Downloads View citations (6)
  2. Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach
    Sustainability, 2019, 11, (14), 1-20 Downloads View citations (9)
  3. Oil price risk evaluation using a novel hybrid model based on time-varying long memory
    Energy Economics, 2019, 81, (C), 70-78 Downloads View citations (17)

2018

  1. A novel method based on numerical fitting for oil price trend forecasting
    Applied Energy, 2018, 220, (C), 154-163 Downloads View citations (20)

2015

  1. A VAR-SVM model for crude oil price forecasting
    International Journal of Global Energy Issues, 2015, 38, (1/2/3), 126-144 Downloads View citations (12)

2014

  1. The fluctuations of China’s energy intensity: Biased technical change
    Applied Energy, 2014, 135, (C), 407-414 Downloads View citations (10)
    See also Working Paper The fluctuations of China's energy intensity: Biased technical change, CEEP-BIT Working Papers (2014) Downloads View citations (15) (2014)
 
Page updated 2025-03-31