scholarly journals Integrative Smart Grids’ Assessment System

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 545
Author(s):  
Aleksy Kwilinski ◽  
Oleksii Lyulyov ◽  
Henryk Dzwigol ◽  
Ihor Vakulenko ◽  
Tetyana Pimonenko
Keyword(s):  
Development Strategy ◽  
Smart Grids ◽  
Energy Development ◽  
Assessment System ◽  
Direct And Indirect Effects ◽  
Evaluation Approach ◽  
Energy Consumption Model ◽  
The World ◽  
Consumption Model ◽  
Efficiency Indicators

The COVID-19 pandemic has significantly affected the energy sector. The new behavior of industrial and non-commercial consumers changes the energy consumption model. In addition, the constraints associated with the coronavirus crisis have led to environmental effects from declining economic activity. The research is based on evidence from around the world showing significant reductions in emissions and improved air quality. This situation requires rethinking the energy development strategy, particularly the construction of smart grids as a leading direction of energy development. Evaluating the efficiency of smart grids is a vital tool for disseminating successful experience in improving their management. This paper proposes an approach to a comprehensive assessment of smart grids based on a comparative analysis of existing methods, taking into account the changes that need to be considered after the experience gained from the COVID-19 pandemic. The approach provides an accurate set of efficiency indicators for assessing smart grids to account for the direct and indirect effects of smart grids’ implementation. This evaluation approach can be helpful to policymakers in developing energy efficiency programs and implementing energy policy.

Dirk J. Wolfson. Public Finance and development Strategy. Baltimore: The Johns Hopkins University Press. 1979. Pp. xiv+264.

1982 ◽  
Vol 21 (3) ◽  
pp. 255-257
Author(s):  
Zafar Mahmood
Keyword(s):  
Public Finance ◽  
Economic Policy ◽  
Public Administration ◽  
Development Strategy ◽  
Executive Branch ◽  
Policy Makers ◽  
Use Of Resources ◽  
Johns Hopkins University ◽  
The World ◽  
Economic Council

The world in its politico-economic aspects is run by policy-makers who have an academic background in law or public administration or other related social disciplines including economics. Only rarely would a majority of the policy-makers be trained in economics. In the making of economic policy, the basic choices before the policy-makers are political and they transcend the narrow concerns of economists regarding optimal use of resources. These considerations in no way downgrade the relevance of economic analysis in economic policy-making and for the training of policy-maker in economics. Policy-makers need economic council to understand fully the implications of alternative policy options. In this book, Wolfson attempts to educate policy-makers in the areas of public finance and development strategy. The analysis avoids technicalities and is kept to a simple level to make it understandable to civil servants, law-makers and members of the executive branch whom Wolfson refers to as policy-makers. Simplicity of analysis is not the only distinguishing mark of this book. Most other books on public finance are usually addressed to traditional public finance issues relating to both the revenue and expenditure sides of the budget and neglect an overall mix of issues dealing with the interaction of fiscal policy with economic development. Wolfson in this book explicitly deals with these issues.

PROSPECTS FOR THE DEVELOPMENTOF MILITARY-POLITICAL COOPERATION OF THE COUNTRIESOF THE POST-SOVIET SPACE

2020 ◽  
Author(s):  
U.S. ALIYEV
Keyword(s):  
Development Strategy ◽  
World Order ◽  
World Politics ◽  
Eurasian Economic Union ◽  
Security Treaty ◽  
Political Cooperation ◽  
The World ◽  
Soviet Space ◽  
Economic Union ◽  
Post Soviet Space

In the context of the formation of a new world order, there is a need to make changes to the development strategy of the Eurasian Economic Union and, even more broadly, integration processes in the post-Soviet space. These changes should take into account the changes taking place in the world, the emergence of new properties of world politics, which are often generically called turbulence. The components of turbulence are conflictness and uncertainty, but this is not the whole list, there are other components. On the example of the Transnistrian conflict settlement, it is shown that success in this process is possible if we are not confined to the conflict itself, but we act on the basis of Russias and the European Unions mutual desire to reduce conflictness in the world and in the European region. Uncertainties can be contrasted with the emergence of military-political factor as the leading one of Eurasian integration in the form of rapprochement and the gradual merger of the Eurasian Economic Union and the Collective Security Treaty Organization.

scholarly journals Machine Learning-Based Energy System Model for Tissue Paper Machines

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 655
Author(s):  
Huanhuan Zhang ◽  
Jigeng Li ◽  
Mengna Hong
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Gradient Boosting ◽  
Paper Machine ◽  
Steam Consumption ◽  
Tissue Paper ◽  
Paper Machines ◽  
Energy Consumption Model ◽  
Extreme Gradient Boosting ◽  
Consumption Model

With the global energy crisis and environmental pollution intensifying, tissue papermaking enterprises urgently need to save energy. The energy consumption model is essential for the energy saving of tissue paper machines. The energy consumption of tissue paper machine is very complicated, and the workload and difficulty of using the mechanism model to establish the energy consumption model of tissue paper machine are very large. Therefore, this article aims to build an empirical energy consumption model for tissue paper machines. The energy consumption of this model includes electricity consumption and steam consumption. Since the process parameters have a great influence on the energy consumption of the tissue paper machines, this study uses three methods: linear regression, artificial neural network and extreme gradient boosting tree to establish the relationship between process parameters and power consumption, and process parameters and steam consumption. Then, the best power consumption model and the best steam consumption model are selected from the models established by linear regression, artificial neural network and the extreme gradient boosting tree. Further, they are combined into the energy consumption model of the tissue paper machine. Finally, the models established by the three methods are evaluated. The experimental results show that using the empirical model for tissue paper machine energy consumption modeling is feasible. The result also indicates that the power consumption model and steam consumption model established by the extreme gradient boosting tree are better than the models established by linear regression and artificial neural network. The experimental results show that the power consumption model and steam consumption model established by the extreme gradient boosting tree are better than the models established by linear regression and artificial neural network. The mean absolute percentage error of the electricity consumption model and the steam consumption model built by the extreme gradient boosting tree is approximately 2.72 and 1.87, respectively. The root mean square errors of these two models are about 4.74 and 0.03, respectively. The result also indicates that using the empirical model for tissue paper machine energy consumption modeling is feasible, and the extreme gradient boosting tree is an efficient method for modeling energy consumption of tissue paper machines.

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