scholarly journals Installation for testing electricity power meters

1975 ◽  
Vol 18 (8) ◽  
pp. 1252-1255 ◽  
Author(s):  
G. A. Talalaev
Keyword(s):  
Electricity Power ◽  
Testing Electricity

scholarly journals Electricity Markets during the Liberalization: The Case of a European Union Country

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4317
Author(s):  
Štefan Bojnec ◽  
Alan Križaj
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Renewable Energy Sources ◽  
Primary Energy ◽  
Lessons Learned ◽  
Policy Implications ◽  
Daily Maximum ◽  
Energy Prices ◽  
Electricity Prices ◽  
Electricity Power

This paper analyzes electricity markets in Slovenia during the specific period of market deregulation and price liberalization. The drivers of electricity prices and electricity consumption are investigated. The Slovenian electricity markets are analyzed in relation with the European Energy Exchange (EEX) market. Associations between electricity prices on the one hand, and primary energy prices, variation in air temperature, daily maximum electricity power, and cross-border grid prices on the other hand, are analyzed separately for industrial and household consumers. Monthly data are used in a regression analysis during the period of Slovenia’s electricity market deregulation and price liberalization. Empirical results show that electricity prices achieved in the EEX market were significantly associated with primary energy prices. In Slovenia, the prices for daily maximum electricity power were significantly associated with electricity prices achieved on the EEX market. The increases in electricity prices for households, however, cannot be explained with developments in electricity prices on the EEX market. As the period analyzed is the stage of market deregulation and price liberalization, this can have important policy implications for the countries that still have regulated and monopolized electricity markets. Opening the electricity markets is expected to increase competition and reduce pressures for electricity price increases. However, the experiences and lessons learned among the countries following market deregulation and price liberalization are mixed. For industry, electricity prices affect cost competitiveness, while for households, electricity prices, through expenses, affect their welfare. A competitive and efficient electricity market should balance between suppliers’ and consumers’ market interests. With greening the energy markets and the development of the CO2 emission trading market, it is also important to encourage use of renewable energy sources.

scholarly journals Enabling Storage and Utilization of Low-Carbon Electricity: Power to Formic Acid

2021 ◽  
Author(s):  
Kuo-Wei Huang ◽  
Sudipta Chatterjee ◽  
Indranil Dutta ◽  
Yanwei Lum ◽  
Zhiping Lai
Keyword(s):  
Hydrogen Storage ◽  
Formic Acid ◽  
Storage Capacity ◽  
Energy Carrier ◽  
Hydrogen Energy ◽  
Low Carbon ◽  
Hydrogen Storage Capacity ◽  
Electricity Power ◽  
Low Toxicity

Formic acid has been proposed as a hydrogen energy carrier because of its many desirable properties, such as low toxicity and flammability, and a high volumetric hydrogen storage capacity of...

Flash-type barometric desalination plant powered by waste heat from electricity power stations in Cyprus

2007 ◽  
Vol 84 (1) ◽  
pp. 66-77 ◽  
Author(s):  
G.G. Maidment ◽  
I.W. Eames ◽  
M. Psaltas ◽  
A. Lalzad ◽  
K. Yiakoumetti
Keyword(s):  
Waste Heat ◽  
Desalination Plant ◽  
Power Stations ◽  
Electricity Power

An Application of NGBM for Forecasting Indian Electricity Power Generation

2017 ◽  
pp. 203-214 ◽  
Author(s):  
Dushant P. Singh ◽  
Prashant J. Gadakh ◽  
Pravin M. Dhanrao ◽  
Sharmila Mohanty ◽  
Debabala Swain ◽  
...  
Keyword(s):  
Power Generation ◽  
Electricity Power

An Improved Residual Network for Electricity Power Meter Error Estimation

2019 ◽  
Vol 33 (08) ◽  
pp. 1959024
Author(s):  
Zichao Kou ◽  
Yanjun Fang
Keyword(s):  
Deep Learning ◽  
Error Estimation ◽  
Back Propagation ◽  
Electrical Energy ◽  
Residual Network ◽  
Propagation Process ◽  
Power Meter ◽  
Energy Metering ◽  
Electricity Power ◽  
Comparable Model

The lack of research on the metering characteristics of electricity power meters under complex conditions is a major obstacle to the on-site verification of electrical energy metering equipment. Establishing a predictive model for electricity power meter errors offers an effective way of dealing with this issue. Deep learning has been proven to have the capacity to reduce end-to-end dimensionality and improve recognition. Through the analysis of the back propagation process in residual networks, an improved residual network is set out in this paper. While preserving the advantages of residual network gradient propagation, it adds an adjustable shortcut and designs a convex [Formula: see text]-parameter strategy that can be improved according to different processing objects. Experimental results show that the predicted errors produced by the proposed technique are significantly lower than in a comparable model. At the same time, the improved residual network does not increase the network’s complexity.

Guangdong, a Potential Province for Developing Hot Dry Rock Geothermal Resource

2014 ◽  
Vol 492 ◽  
pp. 583-585 ◽  
Author(s):  
An Dong Wang ◽  
Zhan Xue Sun ◽  
Bao Qun Hu ◽  
Jin Hui Liu ◽  
Cheng Dong Liu
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Preliminary Data ◽  
Geothermal Energy ◽  
Guangdong Province ◽  
Geothermal Resource ◽  
Hot Dry Rock ◽  
The Past ◽  
Electricity Power ◽  
Near Future

In the past decades, the study on Hot Dry Rock (HDR) geothermal resource has been a hot topic. A large number of investigations confirm that electricity power generated from HDR is feasible and suggest that HDR geothermal source is a kind of local and renewable energy. Up no now, many countries have carried out HDR experiments. As a large energy consumption country, China will also develop HDR geothermal energy in the near future. In the present study, our preliminary data potentially suggest that Guangdong province have great potential to develop HDR geothermal applications.

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