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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>measurement technologies for solving problems of energy informatics</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Vitalii P. Babak</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Leonid M. Scherbak</string-name>
          <email>prof_scherbak@ukr.net</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yurii V. Kuts</string-name>
          <email>y.kuts@ukr.net</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Artur O. Zaporozhets</string-name>
          <email>a.o.zaporozhets@nas.gov.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>Ternopil, Ukraine</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Institute of Engineering Thermophysics of NAS of Ukraine</institution>
          ,
          <addr-line>2A Marii Kapnist St, Kyiv, 03057</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Kyiv International University</institution>
          ,
          <addr-line>49 Lvivska Str., Kyiv, 03179</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"</institution>
          ,
          <addr-line>Kyiv, 03056</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The system of statements for defining the problems of using the resources of information and measurement technologies (IMT) for solving the problems of energy informatics in a broad and narrow sense is given. Potential possibilities of using IMT resources are considered, which include: methods of mathematical, computer and physical modeling; methods of carrying out a full-scale experiment with using a priori and a posteriori data; models of research objects (ROs) under various modes of their functioning based on systems of multidimensional deterministic and random functions of time and space; a combination of physical and probabilistic measures to assess the quality of data during receiving, transmitting and processing information; options for the formation of primary information based on interaction of the RO with IMT sensor means; IMT methods, hardware and software, based on the use of modern achievements of science, technology and production. Evaluation of the quality of IMT research results is carried out on the basis of the concept of measurement results uncertainty. Energy informatics, information and ITTAP'2021: 1nd International Workshop on Information Technologies: Theoretical and Applied Problems, November 16-18, 2021,</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>measurement technologies, signal-to-noise ratio,
methods, models, quality evaluation of research results.</p>
    </sec>
    <sec id="sec-2">
      <title>1. Introduction</title>
      <p>
        In recent years, scientists from the EU, the USA, China and other developed countries have considered
the problems of energy informatics, including the use of information technology to reduce energy
consumption, the use of information and communication technologies to improve energy efficiency, to
integrate decentralized renewable energy sources into a unified energy system, and others. [
        <xref ref-type="bibr" rid="ref1 ref2 ref3 ref4">1, 2, 3, 4</xref>
        ].
Energy informatics is a new discipline, a modern direction of informatics. Solving the problems of
energy informatics requires the use of information technologies in other areas. In particular, it is known
that methods and means of measurement have always been, are and will be the main tool for
understanding the world. The resources of modern IMT are a significant component of information
technologies in various areas of informatics, including energy informatics.
      </p>
      <p>This paper discusses the use of IMT resources for solving the problems of energy informatics. It is
the methods and means of ICT that make it possible to obtain primary information in the ROs of energy
informatics.</p>
      <p>The purpose of the work is: 1) to form a system of statements, which makes it possible to formulate
the tasks of the IMT for solving the problems of energy informatics; 2) to consider the potential
resources of IMT for energy informatics.</p>
      <p>2021 Copyright for this paper by its authors.</p>
    </sec>
    <sec id="sec-3">
      <title>2. Literature review</title>
      <p>
        The concept of "energy informatics" is receiving a lot of attention from the international scientific
community [
        <xref ref-type="bibr" rid="ref1 ref2 ref3 ref4">1, 2, 3, 4</xref>
        ]. Most of this community views on energy informatics as a discipline that studies,
develops, and applies information and communication technologies, energy and informatics to solve
energy problems [
        <xref ref-type="bibr" rid="ref1 ref5 ref6">1, 5, 6</xref>
        ]. At the same time, a large amount of research is focused on technologies that
can reduce the consumption of various types of energy [
        <xref ref-type="bibr" rid="ref7 ref8">7, 8</xref>
        ]. This also applies to climatic problems
associated with an increase in greenhouse gas emissions [
        <xref ref-type="bibr" rid="ref10 ref11 ref9">9, 10, 11</xref>
        ], and, as a consequence, the need to
create branched sensor networks [
        <xref ref-type="bibr" rid="ref12 ref13">12, 13</xref>
        ] to monitor the state of air pollution [
        <xref ref-type="bibr" rid="ref14 ref15">14, 15, 16</xref>
        ], water or soil.
Also, deepening the study of energy informatics contributes to increasing the integration of energy
systems and information and communication technologies [17, 18, 19, 20]. However, energy
informatics does not focus only on energy efficiency and energy conservation. The direction of energy
informatics can be more general, which makes it possible to integrate this direction into another
disciplines.
      </p>
    </sec>
    <sec id="sec-4">
      <title>3. Main part</title>
      <p>First, a simplified scheme of the use of energy and information technology is presented as an
illustration of the main ROs of this work, which is shown in Fig. 1.</p>
    </sec>
    <sec id="sec-5">
      <title>System of statements</title>
      <p>To substantiate the tasks of IMT using in solving problems of energy informatics, it was applied a
well-known approach. This approach is based on the formation of primary systems of axioms and laws.
In the future, this allows them to be used for various kinds of interpretations, formations and definitions.
Examples of this are:
• laws of classical mechanics (Newton)
• axioms of probability theory (Kolmogorov)
• laws of information transmission (Shannon)
• equations of electrodynamics (Maxwell)
• laws of thermodynamics and others.</p>
      <p>Based on this approach and the results of the analysis of a significant number of scientific, technical
and applied publications on cybernetics, informatics, measurements and other types of research, it was
formed the following system of statements.</p>
      <p>Statement 1. The ROs of energy informatics are the sources of natural and anthropogenic origin of
various types of energy and the mode of their functioning in time and space, and power transmission
networks to consumers.</p>
      <p>Statement 2. Receiving the primary information from ROs of energy informatics is based on the
use of methods and means of IMT.</p>
      <p>Statement 3. The effectiveness and reliability of the results of solving energy infornatics problems
are determined by the software for processing a priori and a posteriori research data based on the
methods of mathematical physics, computational mathematics, measure theory, probability theory and
mathematical statistics, and measurement theory.</p>
      <p>Statement 4. The quality of energy informatics research results is assessed based on the concept of
measurement uncertainty, the regulatory framework of which is used by the international measurement
community.</p>
      <p>Statement 5. The diversity of the primary information of ROs of energy informatics is determined
by the action of various energy sources, forming various common variants of signal-interference
combinations, while a decrease in the value of the signal-to-noise ratio (&lt;3) significantly reduces the
efficiency, reliability and quality of the research results obtained.</p>
      <p>In some cases, the following conditional consolidated classification of research problems and tasks
is used:
• research in a broad sense;
• research in the narrow sense;</p>
      <p>The study of the ROs of energy informatics can be classified based on the application of the proposed
system of statements, namely:
• statement 1-4 applies in a broad sense;
• statement 1-5 applies in the narrow sense.</p>
      <p>
        The above system of statements makes it possible to integrate various areas of informatics into the
framework of energy informatics and form its concept. An example can be hardware and software
systems for receiving, transmitting and processing weather observation data for the purpose of
monitoring and forecasting the weather. An example can also be the hardware and software complex of
environmental studies (in particular, monitoring of atmospheric air pollution [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ]), the global structure
of which is being created and developed today.
      </p>
      <p>Let us consider the potential possibilities of using IMT resources to solve the problems of energy
informatics.
3.2.</p>
    </sec>
    <sec id="sec-6">
      <title>Research methods</title>
      <p>The capabilities and resources of modern science, technology and production make it possible to
implement the following research methods:
• research using the theoretical basis of physical and mathematical models of the ROs and with
the use of hardware and software computing facilities and mathematical modeling (simulation);
• physical modeling based on the use of physical models of complex homogeneous and
heterogeneous ROs, which includes a reasonable choice of methods and means of IMT research
and conducting a modeling experiment;
• experimental study of real ROs based on the use of methods and means of IMT research and
carrying out a full-scale experiment.</p>
      <p>The given research methods of ROs by methods and mean of IMT are potentially possible for use,
but in each specific case, each method can be applied independently. Note that the methods of
theoretical research (mathematical modeling) and physical modeling are based on the use of a priori
data. On the basis of the method of experimental research, a posteriori data of a full-scale experiment
is formed, they are processed and the results of research are formed, which correct and agree on the
results of research of mathematical and physical modeling.
3.3.</p>
    </sec>
    <sec id="sec-7">
      <title>Models class of ROs</title>
      <p>Physical and mathematical models are used in a wide range of ROs studies. Each of the models,
physical and mathematical, complement each other, and in spite of the fact that they are copies and do
not fully correspond to real ROs, the models play a fundamental character in the research. Mostly a
more formalized mathematical model is used.</p>
      <p>The mathematical model of ROs is a set of knowledge, hypotheses, initial and boundary conditions
that have developed behind the a priori research data; written using mathematical objects, terms and
symbols in the form of a logically consistent, consistent structure that reflects in time and space the
main properties, characteristics of the ROs.</p>
      <p>Mathematical models are systems of multidimensional, Hilbert deterministic and random functions,
and systems of differential and integral equations. The main characteristics of such models are
determined within the framework of the energy (for random - correlation) theory.
3.4.</p>
    </sec>
    <sec id="sec-8">
      <title>Combination of physical and probabilistic measures</title>
      <p>The combination of physical and probabilistic measures is due to the need to assess both the primary
data and their quality during the receipt, transmission and processing by methods and hardware and
software. Examples of such a combination of measures are discussed in detail in [18].
3.5.</p>
    </sec>
    <sec id="sec-9">
      <title>Methods for obtaining primary research information</title>
      <p>To perform the tasks of using IMT resources during solving problems of energy informatics, three
options for the formation of primary information are used in the interaction and interconnection of ROs
with the IMT sensor means:
a) RO is a source (generator) of such information;
b) RO is a linear or nonlinear, inertial or inertial, one-dimensional or multidimensional transducer
of the impact (signal) acting on the RO, and which is conventionally called test, and the RO is described
by a certain transformation operator Z  ;</p>
      <p>c) RO is a source, which forms its own, different from the input, reaction (response), and the input
signal of action is considered as stimulus.</p>
      <p>A schematic representation of this interaction is shown in Fig. 2.</p>
    </sec>
    <sec id="sec-10">
      <title>Hardware and software research tools</title>
      <p>To carry out theoretical, modeling and experimental studies of ROs, methods and means of IMT are
used, the capabilities and resources of which are based on modern achievements in the development of
science, technology and production. Typical tools on IMT include:
• theoretical basis of research using the methods of mathematical physics, mathematical analysis,
computational and discrete mathematics, systems and signals theory, measurements theory and
others;
• hardware and software of IMT.
3.7.</p>
    </sec>
    <sec id="sec-11">
      <title>Assessment of the quality of research results</title>
      <p>Each study in the field of energy informatics ends with an assessment of the quality of the obtained
results. The assessment procedure is very diverse, has a wide range of complexity and is determined by
the research objective.</p>
      <p>In one case, the result is an answer of the question “yes or no” (for example, a control problem), in
the other, the result is used to justify the tasks of a new study (for example, to determine the dependence
of the probability of signal detection under the influence of interference on the signal-to-noise ratio
(SNR)). The given example of signal detection under the influence of interference is one of the complex
problems of radiolocation, hydroacoustics, other branches of science and technology, and, accordingly,
energy informatics, for the solution of which appropriate information support, hardware and software
modules of technical systems are used. The complexity of taking into account the dependence of the
characteristics of signal detection under the influence of interference on the signal-to-noise ratio (SNR)
is due to the fact that it has a more general definition in energy informatics:
 energy of the RO's information signal
energy of the total interference signal</p>
      <p>In practice, it is difficult to find the meaning of such a relationship because:
• ratio is the ratio of two signal fields as multidimensional functions of time t T and space
( x, y, z )  R3 , and in the general case, a random variable   Ω ;
• signal fields of the ROs and interference do not apply separately, but are manifested
additively or multiplicatively by their combination;
• energies of the ROs’ signal field and interference change differently in the hardware and
software modules of the research systems.</p>
      <p>The problem of signal detection under the influence of interference is important for a wide range of
industries, and is transformed into a number of independent tasks, the solution of each of which is based
on a specific signal-interference situation.</p>
      <p>The principle of integration of various knowledge systems into informatics makes it possible, within
the framework of energy informatics, to use the well-known method of the concept of measurement
uncertainty for the quality assessment of research results. This concept is widely used by the
international community, has a regulatory framework that is used by each country.</p>
    </sec>
    <sec id="sec-12">
      <title>4. Discussion</title>
      <p>Naturally, the development of energy informatics requires appropriate integration in the use of
information technologies, including IMT. IMT are integral part of almost all information technologies.
Therefore, the urgent task is to consider in more detail the use of IMT resources during solving the
problems of energy informatics. In this paper, ROs are the objects of energy informatics, and for their
research methods and hardware and software of IMT are used.</p>
      <p>First, a system of statements was presented that adapts the use of IMT resources to solve the
problems of energy informatics. This is a well-known approach to the formation of relevant disciplines
and directions based on the application of a system of axioms and laws. The problem of energy
informatics is conventionally divided into 2 options: in a broad and in a narrow sense. The first option
includes all the problems of energy informatics, which does not use the signal-to-noise ratio in its
research. The second option takes into account the signal-to-noise ratio, which significantly affects the
research results, and, accordingly, their reliability and efficiency. The paper also discusses in detail the
potential possibilities of using IMT resources in solving problems of energy informatics.
5. Results</p>
      <p>1. The given system of statements, which, by analogy with the well-known approach to the formation
of the corresponding areas of knowledge based on the use of systems of axioms and laws, makes it
possible to form tasks, obtain and evaluate the results of research by methods, hardware and software
of IMT for ROs.</p>
      <p>2. A number of characteristic features of IMT are considered, including:
• theoretical, modeling and experimental methods as the main research methods for ROs of
energy informatics for various modes of their functioning in time and space;
• physical and mathematical models of ROs using systems of one-dimensional,
multidimensional, deterministic and random functions of time and space;
• combination of physical and probabilistic measures in research;
• methods for obtaining primary information based on the interaction and interconnection of the</p>
      <p>ROs with sensors means of IMT;
• methods and hardware and software of IMT, based on the use of modern achievements of
science, technology, production;
• assessing the quality of research results using the characteristics of their uncertainty based on
the concept of uncertainty, which widely used in the world.</p>
    </sec>
    <sec id="sec-13">
      <title>6. Acknowledgments</title>
      <p>The work is supported by “Development of models, methods and methodology for determining the state
of industrial structures according to the data of monitoring system with forecasting the residual
resource” (2021-2025, 0121U110307), “Development of methods and ways to improve the
environmental efficiency and durability of chimneys of heat power plants. Stage 2” (2021,
0121U109243), “Development of a system for monitoring the level of harmful emissions of TPP and
diagnosing the equipment of power plants using renewable energy sources on the basis of Smart Grid
with their collaboration” (2019-2021, 0119U101859) which are financed by National Science of
Ukraine.</p>
    </sec>
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