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Predicting the amount of electricity produced in a power plant is very important for today’s economy. Oven Power (MW), Boiler Input Gas Temperature, Superheated Steam Amount, ID-Fan Speed, Feeding Water Tank data affect the electricity production. In this article, Etikrom A. Ş . The electricity production amount to be produced in Elaz ı ğ Etikrom A. Ş . was estimated by using the data of Oven Power (MW), Water Inlet Gas Temperature, Steam Vapor Volume, ID-Fan Speed, Feeding Water Tank data. Electricity generation amount is used as veri ﬁ cation data. That is, by the k-means clustering method, the electricity generation amount is divided into 3 classes (low, medium, and high). 3621 data including Oven Power (MW), Boiler Input Gas Temperature, Superheated Steam Amount, ID-Fan Speed, and Feeding Water Tank data were used after class 3 separation. With the K-means clustering method, 2742 of these data were clustered as low electricity, 296 as medium electricity and 583 as high electricity. This clustered data was given to the Arti ﬁ cal Neural Network classi ﬁ er. The success rate obtained as a result of this classi ﬁ cation is 85.81%. Classi ﬁ ed data were analyzed by ROC curve.


Introduction
Nowadays, various sources are used to meet the need for electricity. One of the ways to meet energy needs is electricity generation with steam . Steam is the passage of water through various stages and from liquid to gas. In this article, we describe the transformation of electricity to electricity by generating steam and we have examined and classifi ed the variables that affect the electricity production values and production values. The data belong to the year 2017 and are registered for every hour. We have ETİKROM A.Ş. by observing the data we have observed in the cogeneration plant, we have observed by classifying variables affecting electricity generation and electricity generation. In a steam power unit; high pressure steam boiler, high pressure steam turbine, condenser, feed water tank, superheater. In the demineralization unit, water with a maximum of 0.2 μS conductivity and a minimum pH of 9.4 is sent to the feed water tank.
The water temperature in the feed water tank is increased a little. Burning of the arc furnaces with 23 MW installed power, which is used to melt the chrome, is taken into the boiler by vacuuming with the help of the resulting fl ue gas ID-Fan.
Water is circulated through the boiler with the help of pipes.
Boiler; high pressure economizer, high pressure evaporator, high pressure superheater, high pressure steam drum. The water in the pipes is interacted with the reverse fl ow by the gas taken in. The steam obtained as hot steam in the boiler is taken to the high pressure steam drum. The pressurized steam is sent from the high pressure steam drum to the steam turbine.
The steam sent to the steam türbine is hot. Steam with 300 ° C and 30 bar pressure is hot and steam turbine is sent to these specifi cations. Convection steam is condensed in the condenser and the condensate is pumped back to the feed water tank by the condenser pumps and the closed cycle is completed.
In addition, the feed water tank is kept warm continuously. This is possible by constant steam heating from the high pressure steam boiler. The harmful and suspended substances in the system are taken out by the bluff tank. Synchronized generator with steam turbine is operated and electricity generation is provided. The amount of electricity produced depends on some variables, from steam production, steam to the steam turbine, and the synchronous generator connection of the steam turbine with the help of reducers. These variables are the oven power, the boiler gas inlet temperature, the total amount of steam produced, the feed water tank temperature elevated water temperature, the ID fan speed, and the ambient temperature. If these variables are to be explained, the working power of the furnace is directly proportional to the outlet temperature of the furnace. That is, when the oven power is high, the fl ue gas temperature is also high. Therefore, the fl ue Inf Technol 3(1): 001-004. DOI: http://dx.doi.org/10.17352/tcsit.000006 gas temperature directly refers to the boiler inlet temperature, that is, the temperature of the gas heating the water. The higher this temperature, the better the evaporation will be. It is easier to evaporate the water with high temperature because the feed water is heated by preheating the water in the tank. This means that the steam that needs to be created is easier to build.
Because the heat required to evaporate cold water is higher than the heat that must be supplied to heat the hot water. The higher the amount of steam produced, the higher the amount of electricity produced. The number of active stages of the turbine will increase and the force generated will increase in direct proportion to the amount of steam. The ID-Fan devride affects steam production. If the ID-Fan cycle is not adjusted according to the fl ow of the fl ue gas, the steam production amount will decrease. If the gas fl ow is low, and the ID-Fan cycle is not at the proper value and the gas passes quickly through the boiler, the fl ue gas heat will leave the boiler without passing the water heat through the pipes, which will reduce the amount of steam.
It also affects the amount of steam production and the amount of electricity generated at the outside temperature. When the outdoor temperature is low, the temperature of the fl ue gas in the fl ue gas channels will decrease. This will cause the boiler inlet gas temperature to decrease. In addition, when the ambient temperature is low on the steam transmission lines, the transmission will be condensed at the surface of the line, and the steam temperature and steam amount will decrease accordingly.
Even if the transmission lines are not drained, the türbine will be dismantled. On the other hand, when there is a malfunction in the steam turbine or generator, the superheated steam auxiliary condenser is transferred to the hot steam generator system so that it does not stop. It does not lose the hot steam feature on this. That is to say, electricity is produced as a result of the closed cycle with the steam produced depending on these variables. In addition to all these, dust and harmful residues in the gas taken from the fl ue are trapped by the fi lter bags. The dust and harmful debris carried by the conveyor system to the powder silos are removed by passing through the chemical process. At this point, the facility becomes an environmentally friendly facility at the same time.
Also in the cogeneration plant belonging to Eti Krom A.Ş., since there are two furnaces, there are two boilers. For this reason, the amount of steam generated from the boiler, which is the same, is twice as much.

Experiment results and conclusions are explained in Section 3
and Section 4, respectively.

Theory and Method
Obtaining the data Then, the classifi cation of ROC curve was analyzed.

K-means clustering algorithm
The k-means algorithm uses it intuitively to fi nd the center seeds for the k-median clusters. According to Arthur assuming that the number of clusters is k.
Step 1: Select a random observation of Z from the data 1 a set. The selected observation is the fi rst center, designated as Step 2: Calculate 1 a distances from each observation. Let be the distance between and observation b.
Step 3: Select the next centroid, a 2 at random from Z with probability. That is, a probabilistic distance from each center must be selected that is proportional to the distance to the nearest selected center.
Step 5: Repeat step 4 until K centroids are selected. Using a simulation study of several cluster orientations, Arthur and Vassilvitskii [9,10] show that k-tools provide a faster convergence of cluster-centric distances from square points to the sum of a cluster set lower than Lloyd's. algorithm [9][10][11][12][13]."

Experimental Results and Discussion
Electricity production amount to be produced in Elazığ Etikrom A.Ş. was estimated by using Furnace Power (MW) obtained from Etikrom A.Ş., Boiler Input Gas Temperature, Superheated Steam Quantity, ID-Fan Speed Rate, Feeding.
Water Tank data. Electricity generation amount is used as verifi cation data. That is, by the k-means clustering method, the electricity generation amount is divided into 3 classes (low, medium, and high). 3621 data including Furnace Power (MW), Boiler Input Gas Temperature, Superheated Steam Amount, ID-Fan Speed, and Feeding Water Tank data were used after class 3 separation. With the k-means clustering method, 2742 of these data were clustered as low electricity, 296 as medium electricity and 583 as high electricity. This clustered data was given to the Artifi cal Neural Network classifi er. The success rate obtained as a result of this classifi cation is 85.81%. Classifi ed data were analyzed by ROC curve.
In table 1 is seen examples of data affecting electricity generation. This values is determined as low-level classifi cation with k-means method.
Electricity generation datas in this article have been taken from Electricity generation amount is used as verifi cation data.
That is, by the k-means clustering method, the electricity generation amount is divided into 3 classes (low, medium, and high). 3621 data including Furnace Power (MW), Boiler Input Gas Temperature, Superheated Steam Amount, ID-Fan Speed, and Feeding Water Tank data were used after class 3 separation.
With the k-means clustering method, 2742 of these data were clustered as low electricity, 296 as medium electricity and