scholarly journals A Novel Prediction Approach for Short-Term Renewable Energy Consumption in China Based on Improved Gaussian Process Regression

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4181 ◽  
Author(s):  
Huang ◽  
Yang ◽  
Gao ◽  
Jiang ◽  
Dong
Keyword(s):  
Energy Source ◽  
Renewable Energy Source ◽  
Renewable Energy ◽  
Energy Consumption ◽  
State Transition ◽  
Energy Structure ◽  
Renewable Energy Consumption ◽  
State Transition Algorithm ◽  
The Government ◽  
Prediction Approach

Energy consumption issues are important factors concerning the achievement of sustainable social development and also have a significant impact on energy security, particularly for China whose energy structure is experiencing a transformation. Construction of an accurate and reliable prediction model for the volatility changes in energy consumption can provide valuable reference information for policy makers of the government and for the energy industry. In view of this, a novel improved model is developed in this article by integrating the modified state transition algorithm (MSTA) with the Gaussian processes regression (GPR) approach for non-fossil energy consumption predictions for China at the end of the 13th Five-Year Project, in which the MSTA is utilized for effective optimization of hyper-parameters in GPR. Aiming for validating the superiority of MSTA, several comparisons are conducted on two well-known functions and the optimization results show the effectiveness of modification in the state transition algorithm (STA). Then, based on the latest statistical renewable energy consumption data, the MSTA-GPR model is utilized to generate consumption predictions for overall renewable energy and each single renewable energy source, including hydropower, wind, solar, geothermal, biomass and other energies, respectively. The forecasting results reveal that the proposed improved GPR can promote the forecasting ability of basic GPR and obtain the best prediction effect among all the other comparison models. Finally, combined with the forecasting results, the trend of each renewable energy source is analyzed.

scholarly journals Investigating the Relationships between Renewable Energy Consumption, Socio-Economic Factors and Health: A PVAR Analysis from MENA Net Oil Importing Countries

2021 ◽  
Vol 14 (1) ◽  
pp. 151
Author(s):  
Mohamed Kadria ◽  
Sahbi Farhani ◽  
Yosr Guirat
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Environmental Policy ◽  
Good Governance ◽  
Economic Factors ◽  
Renewable Energy Consumption ◽  
The Government ◽  
The Impact ◽  
Socio Economic Factors

In this paper, we tried to contribute to the previous literature by analyzing the relationship between renewable energy consumption, socio-economic factors and health in the presence of a stringent environmental policy and lobbying power. Using a Panel Vector Auto-Regressive (PVAR) technique, we specifically examine the role of the government effectiveness and the lobbying pressure in moderating the impact of renewable energy consumption on CO2 emissions, economic growth and health factor considering the case of Middle East and North Africa (MENA) Net Oil Importing Countries (NOICs) from 1996 to 2019. Our analysis shows that (i) environmental policy stringency and good governance will induce a rise in the level of renewable energy consumption; (ii) lobbying power and interest groups discourage the renewable energy sector’s development since the add in economic growth of these economies is not oriented towards renewable energy projects; (iii) a rise in renewable energy consumption, perhaps generated by renewable energy policies, should favor the improvement of public health. Finally, the political implications of the findings are summarized and discussed.

scholarly journals Macroeconomic Determinants of Renewable Electricity Technology Adoption in Thailand

2020 ◽  
Vol 2 (2) ◽  
pp. 99-111
Author(s):  
Jidapa Ungwanitban ◽  
Salah ud Din Taj
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Fossil Fuels ◽  
Energy Technology ◽  
Total Energy Consumption ◽  
Renewable Energy Consumption ◽  
Total Consumption ◽  
Renewable Energy Technology ◽  
The Government ◽  
The Impact

Renewable energy plays a significant role in mitigating C02 emission and boosts sustainable development. Initially, this study examines those factors which create hurdles in adopting renewable energy technology in Thailand. Later, this study examined the impact of renewable energy with other supporting variables on Thailand's total energy consumption. For this purpose, this study used 38 years of data from 1990 to 2018. Initially, the Augmented Dickey fuller test applied to verify the order of integration on indicators, and it confirms that there exists a unit order of integration. Then applied Johansen Cointegration, and it confirms that there are long-run relationships among trade openness, GDP, energy consumption (fossil fuels), financial development, and renewable energy consumption. Further applied Vector error correction model (VECM) to estimates the coefficients on indicators. Results confirm that openness to trade endorses the consumption of renewable energy in Thailand. However, the development of the economy and traditional energy resources creates hurdles to adapting renewable energy in Thailand. Renewable energy technology in Thailand did not significantly impact financial growth and development. After the research, the researcher advised the government of Thailand to adopt and implement the regulations and policies that maximize the magnitude of renewable energy and maximize the portion of renewable energy in total consumption of the overall energy consumption for the country Thailand.

scholarly journals Can Green Finance Optimize Energy Structure: A Spatial Econometric Analysis based on China's Traditional and Renewable Energy Consumption

2021 ◽  
Author(s):  
Hui Wang ◽  
Lili Jiang ◽  
Hongjun Duan ◽  
Yifeng Wang ◽  
Yichen Jiang
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Spillover Effect ◽  
Energy Structure ◽  
Renewable Energy Consumption ◽  
Spatial Spillover ◽  
Consumption Structure ◽  
Green Finance ◽  
The Impact ◽  
Spatial Spillover Effect

Abstract This paper studies the impact of the development of green finance on China’s energy consumption structure. In terms of the construction of the green finance index (GFI), this paper selects 17 basic indexes from the three aspects of economy, finance, and environment, uses the improved entropy weight method to construct the GFI, and studies the spatial spillover effect of the GFI of China's provinces. This paper further studies the impact of green finance on traditional and renewable energy consumption. We first uses panel regression to determine that the development of green finance has a positive effect on the slowdown of traditional energy consumption and acceleration of renewable energy consumption, and then further studies the spatial characteristics of green finance development on energy consumption by using spatial Durbin model. The results show that there is a positive spatial spillover effect in the development of green finance among provinces in China. The development of green finance contributes to the conversion of traditional to renewable energy consumption. The effect of green finance on the transformation of energy consumption structure is mainly reflected in the direct effect. Therefore, the government should support the green finance, reduce traditional energy consumption and increase renewable energy consumption.

scholarly journals Trade Openness and Urbanization impact on Renewable and Non-Renewable Energy Consumption in China

2021 ◽  
Author(s):  
Jiabin han ◽  
Muhammad Zeeshan ◽  
Irfan Ullah ◽  
Alam Rehman ◽  
Fakhr E Alam Afridi
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Trade Openness ◽  
Renewable Energy Consumption ◽  
Urbanization Effect ◽  
Energy Inputs ◽  
Negative Effect ◽  
Development Goals ◽  
The Government ◽  
Almost All

Abstract This study investigates the trade openness and urbanization effect on renewable and non-renewable energy consumption in China for the period 1990-2018. We apply the Quantile Regression technique for the analysis, our results show that trade significantly increases the non-renewable energy consumption in all quintiles while partially increases renewable energy consumption. This shows that trade activities in production and export commodities heavily rely on non-renewable energy inputs instead of renewable energy inputs. Urbanization affects non-renewable energy consumption only in three quintiles, while its effect is insignificant in most of the quintiles. Similarly, Urbanization does not affect renewable energy consumption as in almost all quantiles the coefficients are statistically insignificant. This implies that urbanization is one of the determinant of energy consumption in China. The empirical findings of this study suggest some policy recommendations; first, the government needs to implement certain regulations while expanding trade to minimize the negative effect of non-renewable energy consumption; besides government should provide incentives to industrial units and traders for using renewable energy which may help to attain long term sustainable development goals.

scholarly journals Income, Coal Consumption, And The Environmental Kuznets Curve In Vietnam

2021 ◽  
Author(s):  
Nhan Dang Tran ◽  
Naresh Chandra Sahu
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Environmental Kuznets Curve ◽  
Policy Implications ◽  
Energy Structure ◽  
Kuznets Curve ◽  
Coal Consumption ◽  
Renewable Energy Consumption ◽  
Distributed Lag ◽  
The One

Abstract While coal leads energy structure in a rapid growth economy like Vietnam, there exist efforts to increase the use of renewable energy and at the same time to reduce greenhouse gas emissions. This paper aims to investigate whether there is an inverted U environmental Kuznets curve (EKC) relation between income and coal consumption from 1984 to 2019 using the nonlinear autoregressive distributed lag (NARDL) framework. We find that the income elasticities of coal consumption are larger than unity and increase monotonically with income. It thus reveals that the income-coal consumption relationship resembles an upward-sloping curve instead of an inverted U-shaped curve. We also find that coal consumption reduces with the one percent increase in the share of renewable energy consumption by less than it increases with the one percent decrease in the share of renewable energy consumption. Despite this, it indicates that the substitution of renewable energy for coal seems more substantial with policy improvements. Moreover, we find that the quantity of coal consumed grows with positive oil price shocks. It suggests that rising oil prices play an undesirable role in reducing coal consumption and associated emissions. Finally, the study provides policy implications for interventions to achieve committed emission targets.

scholarly journals Evolution of Renewable Energy in BRI Countries: A Combined Econometric and Decomposition Approach

2020 ◽  
Vol 17 (22) ◽  
pp. 8668 ◽  
Author(s):  
Feng Dong ◽  
Yuling Pan
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Economic Effect ◽  
Energy Structure ◽  
Low Carbon ◽  
Renewable Energy Consumption ◽  
Intensity Effect ◽  
Emission Effect

The development of renewable energy is an important cooperation theme among countries along the Belt and Road Initiative (BRI countries). Through map description, we first explore the changes in renewable energy consumption in BRI countries. Then, β-convergence is employed to examine the development direction of renewable energy consumption in BRI countries. Finally, based on the expanded Kaya equation, we decompose the factors effecting renewable energy consumption into energy structure effect, energy intensity effect, low-carbon economic effect, carbon emission effect, population distribution effect and population effect. The Logarithmic Mean Divisia Index (LMDI) is utilized to calculate the contribution of each factor to renewable energy consumption in the expanded Kaya equation. Our research reaches the following conclusions: (1) β-convergence exists in renewable energy consumption among BRI countries, indicating that it will converge to a relatively stable level, and countries with low renewable energy consumption will increase their renewable energy consumption with a higher convergence rate to chase the countries with high renewable energy consumption. (2) Energy structure effect makes a positive impact on renewable energy consumption, and is the main contributor to renewable energy consumption. (3) The energy intensity effect makes a negative contribution to renewable energy consumption, and the negative impact has deepened in recent years. (4) Both the low-carbon economic effect and the carbon emission effect have positive impacts on renewable energy consumption. Our research not only provides a description of the experience of developing renewable energy for BRI countries, but also makes reference to other organizations.

scholarly journals Development of a Wireless Sensor Network (WSN) Based Energy Efficient Cattle Monitoring System

2020 ◽  
pp. 1-9
Author(s):  
A. A. Ijah ◽  
O. W. Bolaji ◽  
O. O. Adedire ◽  
J. Z. Emmanuel ◽  
N. E. Onwuegbunam ◽  
...  
Keyword(s):  
Energy Source ◽  
Renewable Energy Source ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Average Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Consumption Pattern ◽  
Wireless Sensor Nodes ◽  
Cattle Rustling

This study shows how to monitor the movement of cattle using wireless sensor nodes powered by a renewable energy source capable of detecting location. Performance analysis was carried out on the energy consumption pattern of the nodes which indicated that throughout the monitoring period, the average energy consumed by the nodes was thus; master node 6450 joules, node one 1680 joules, node two 1656 joules, node three 1676 joules, node four 1656 joules. The rate of energy consumption was sustained by the renewable energy source. It was equally observed that energy consumption increased depending on how often query was sent and how often the conditions of monitoring was violated. This is to guarantee that information about cattle location gets to the base without delay due to battery failure which has been a major challenge faced with the current existing systems in tackling cattle rustling.

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