scholarly journals Application of Neural Networks and Evolutionary Algorithms to Solve Energy Optimization and Unit Commitment for a Smart City

2020 ◽  
Author(s):  
Bohumír Garlík
Keyword(s):  
Cluster Analysis ◽  
Unit Commitment ◽  
Electricity Consumption ◽  
System Optimization ◽  
Energy System ◽  
Multidimensional Data ◽  
The Czech Republic ◽  
History Of ◽  
Kohonen Map ◽  
Energy Companies

The optimization problem of two or more special-purpose functions of the energy system is subjected to an analysis. Based on experience of our research and general knowledge of partial solutions of energy system optimization at the level of control of production and power energy supply by energy companies in the Czech Republic, a special-purpose (cost) function has been defined. By analysing the special-purpose function, penalty and limitations have been defined. Using the fuzzy logic, a set of suitable solutions for the special-purpose function is accepted. An optimum of the special-purpose function is looked for using the simulated annealing method. The history of electricity consumption is sorted by day and by hour, representing the multidimensional data. When using the cluster analysis, type daytime diagrams of consumption are defined. Type daytime diagrams form prototypes of identified clusters. The so-called self-organizing neural network with Kohonen map attached is used to perform the cluster analysis. The result of our research is presented by an experiment.

scholarly journals Using Kohonen networks in the analysis of transport companies in the Czech Republic

2019 ◽  
Vol 61 ◽  
pp. 01010 ◽  
Author(s):  
Tomáš Krulický
Keyword(s):  
Neural Networks ◽  
Cluster Analysis ◽  
Czech Republic ◽  
Financial Statements ◽  
Transport Sector ◽  
The Czech Republic ◽  
Operating Profit ◽  
Kohonen Networks ◽  
Kohonen Map ◽  
Further Development

The transport sector has a significant impact on the performance of the Czech economy. Transport companies, of course, have their own specificities, whether they deal with ecology or the financial and economic situation. It is precisely the economic position of a transport company that needs to be analysed in order to identify the need for change, to predict the further development of such company. For analysis, a variety of methods is used, of which artificial neural networks are a very interesting and effective tool. The aim of this paper is to make a cluster analysis of transport companies operating in the Czech Republic based on this tool. The data of the financial statements of transport companies in the Czech Republic in 2016 are taken into account. Only some items from the financial statements are selected for analysis. The file is then subjected to a cluster analysis, specifically using the Kohonen networks – Statistica software. In accordance with the methodology of the contribution, the data is divided into three sets - training, testing and validation. Companies were divided into clusters in the 10x10 Kohonen Map. Some clusters are significant in terms of number of companies. These clusters are further analysed. Specific conclusions are made: A larger company generates, on average, a higher operating profit, larger companies achieve higher ROE and, in the case of a larger company, the financial leverage acts more positively.

Young Scholars Conference “Slavic World: Commonality and Diversity”. 21–22 May 2019. Session “Linguistics”

2019 ◽  
Vol 14 (1-2) ◽  
pp. 295-297
Author(s):  
Sergej A. Borisov
Keyword(s):  
Czech Republic ◽  
Middle Ages ◽  
The Czech Republic ◽  
International Context ◽  
Slavic Languages ◽  
Russian Academy Of Sciences ◽  
Current State ◽  
Wide Range ◽  
History Of ◽  
Academy Of Sciences

For more than twenty years, the Institute of Slavic Studies of the Russian Academy of Sciences celebrates the Day of Slavic Writing and Culture with a traditional scholarly conference.”. Since 2014, it has been held in the young scholars’ format. In 2019, participants from Moscow, St. Petersburg, Kazan, Togliatti, Tyumen, Yekaterinburg, and Rostov-on-Don, as well as Slovakia, the Czech Republic, Hungary, and Romania continued this tradition. A wide range of problems related to the history of the Slavic peoples from the Middle Ages to the present time in the national, regional and international context were discussed again. Participants talked about the typology of Slavic languages and dialects, linguo-geography, socio- and ethnolinguistics, analyzed formation, development, current state, and prospects of Slavic literatures, etc.

Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

2020 ◽  
Vol 14 (1) ◽  
pp. 48-54
Author(s):  
D. Ostrenko ◽  
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy System ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Network ◽  
Time Dynamics ◽  
Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

scholarly journals Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1581
Author(s):  
Wenqiang Zhu ◽  
Jiang Guo ◽  
Guo Zhao ◽  
Bing Zeng
Keyword(s):  
Power Supply ◽  
Tidal Current ◽  
System Optimization ◽  
Energy System ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Multi Objective

The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. Furthermore, comparison of hybrid systems with and without tidal current turbines is undertaken to confirm that the utilization of tidal current turbines can contribute to enhancing system reliability and reducing system investment, especially in areas with abundant tidal energy sources.

scholarly journals Spatial differentiation of ecosystem risks of soil pollution in floodplain areas of the Czech Republic

2017 ◽  
Vol 12 (No. 1) ◽  
pp. 1-9 ◽  
Author(s):  
J. Skála ◽  
R. Vácha ◽  
J. Hofman ◽  
V. Horváthová ◽  
M. Sáňka ◽  
...  
Keyword(s):  
Czech Republic ◽  
Structural Characteristics ◽  
Spatial Differentiation ◽  
Flood Frequency ◽  
Extreme Weather Events ◽  
The Czech Republic ◽  
Local Pollution ◽  
Floodplain Soils ◽  
History Of ◽  
High Flood

Extensive soil sampling and screening assessment of ecosystem risks combined with a multidimensional statistical analysis were used to estimate and spatially characterize the ecosystem risks stemming from the contamination of floodplain soils in the Czech Republic. We proved structural differences in regional pollution patterns where different regional/local pollution sources led to various nature and extent of the environmental load of floodplain soils. The established spatial patterns helped reveal the areas where soils do not meet soil quality standards and where the ecosystem risks were elevated. Furthermore, the results allowed to establish priority contaminants of flood affected areas in various catchments in the Czech Republic. Combining both the magnitudes of estimated ecosystem risks and structural characteristics of pollution profiles, the highest estimated risks showed the localities with high contents of organochlorine pesticides, several samples connected to geochemical anomalies of metallogenic zones (deposits), and localities with a long history of industrial load. Since extreme weather events have recently become more frequent, our results highlight the importance of a continual monitoring of pollutant turnover in floodplain soils with a high flood frequency.

Clustered Iconography: A Resurrected Method for Representing Multidimensional Data

2020 ◽  
pp. 004912412091494
Author(s):  
Olav Muurlink ◽  
Anthony M. Gould ◽  
Jean-Etienne Joullié
Keyword(s):  
Twentieth Century ◽  
Open Source ◽  
Multidimensional Data ◽  
Statistical Techniques ◽  
Graphical Representations ◽  
Graphical Methods ◽  
History Of ◽  
Research Findings

Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff’s faces. It resurrects and improves a procedure, clustered iconography, which enables the presentation of multidimensional data through which readers engage more effectively with the presentation’s central message by way of an easier understanding of relationships between variables. The proposed technique is especially well adapted to the needs and protocols of open-source research.

Hybrid energy system optimization with battery storage for remote area application considering loss of energy probability and economic analysis

Energy ◽  
2021 ◽  
pp. 122303
Author(s):  
Amirreza Naderipour ◽  
Amir Reza Ramtin ◽  
Aldrin Abdullah ◽  
Massoomeh Hedayati Marzbali ◽  
Saber Arabi Nowdeh ◽  
...  
Keyword(s):  
Economic Analysis ◽  
System Optimization ◽  
Energy System ◽  
Remote Area ◽  
Battery Storage ◽  
Hybrid Energy System ◽  
Hybrid Energy

Hybrid Photovoltaic-Diesel Energy System Optimization (Case Study of Electric Power Supply for Buildings under the Weather Conditions of Montenegro)

2014 ◽  
Vol 627 ◽  
pp. 357-364 ◽  
Author(s):  
Goran Radovic ◽  
Vera Murgul ◽  
Nikolai Vatin ◽  
Ekaterina Aronova
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Power Supply ◽  
Optimal Solution ◽  
Weather Conditions ◽  
System Optimization ◽  
Energy System ◽  
Energy Performance ◽  
Electric Power Supply ◽  
Continuous Power

The article deals with the concept of solar photovoltaic systems use in power supply systems. An analysis of local solar resources potential has been carried out, and optimal orientation points of radiant heat absorbing photovoltaic panels have been chosen to achieve maximum energy performance. Simulation of electric power systems having different configurations has been implemented using the software program Homer. It has been stated that a combination of solar and diesel energy systems is considered to be an optimal solution under the weather conditions of Montenegro. The systems working together make it possible to reduce maintenance costs significantly and adjust capacity generation schedule with due account for energy consumption features to a maximum extent. This allows generating electric power at less cost and results in a more reliable and continuous power supply without failures for a consumer chosen.

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