ISSN 2394-5125
 

Research Article 


ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran.

Abstract
In the thermal industry today, optimization of energy cannot be put aside regarding the state of the environment as
well as the energy production level. Today, in this industrial sector, the type of control system applied in the control
machinery is of the classical type (the Proportional-Integral-Derivative (PID) controllers) and this control system in
the phase of non-linearity, that is when the process becomes too complex to be described by analytical models, it
becomes inefficiently controlled by this classical approach, To forestall this energy waste and bring about energy
optimization in the system operation, an automated operatorís task which employs an artificial intelligence control
system is required. This will result in an automated control system that will delist the classical control inability,
thereby making efficient the thermally induced machinery control and bring about the optimization of energy. In a
nutshell, this work is meant to optimize energy in the thermal industry by using the artificial intelligent control in its
system control of machinery. This work finds application in the thermal industry.

Key words: Artificial Intelligence, Energy Optimization, Thermal Industry, Classical Control.


 
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Pubmed Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran. ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES. JCR. 2020; 7(17): 165-168. doi:10.31838/jcr.07.17.25


Web Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran. ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES. http://www.jcreview.com/?mno=18639 [Access: August 18, 2021]. doi:10.31838/jcr.07.17.25


AMA (American Medical Association) Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran. ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES. JCR. 2020; 7(17): 165-168. doi:10.31838/jcr.07.17.25



Vancouver/ICMJE Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran. ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES. JCR. (2020), [cited August 18, 2021]; 7(17): 165-168. doi:10.31838/jcr.07.17.25



Harvard Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran (2020) ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES. JCR, 7 (17), 165-168. doi:10.31838/jcr.07.17.25



Turabian Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran. 2020. ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES. Journal of Critical Reviews, 7 (17), 165-168. doi:10.31838/jcr.07.17.25



Chicago Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran. "ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES." Journal of Critical Reviews 7 (2020), 165-168. doi:10.31838/jcr.07.17.25



MLA (The Modern Language Association) Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran. "ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES." Journal of Critical Reviews 7.17 (2020), 165-168. Print. doi:10.31838/jcr.07.17.25



APA (American Psychological Association) Style

Mudide.Ramprasad, kasanigottu.Srinivas, karee.Ravikiran (2020) ARTIFICIAL INTELLLIGENCE AND ENERGY OPTIMIZATION IN THERMAL INDUSTRIES. Journal of Critical Reviews, 7 (17), 165-168. doi:10.31838/jcr.07.17.25