## 5 Simulation Results
### Results of FIS with Humidity
Using the technique of Mamdani FIS without humidity, the cost is nearly $8.92, Sugeno FIS without humidity costs $8.59, Mamdani FIS with humidity approach costs $6.79 and Sugeno FIS with humidity FIS costs $6.86. The proposed technique of FLC using Mamdani FIS with humidity reduces the cost by 23.87% and Sugeno FIS with humidity shows efficiency of 23.09% as compared to the existing FLC without humidity as an input parameter. Mamdani FIS outperforms here because of its simple nature and results in bill reduction. A similar conclusion is reached when monthly expense of using HVAC is calculated as shown in Figure 24. Mamdani FIS with humidity as an input parameter reduced the energy consumption resulting in a total cost of $203.83 in a month. Sugeno FIS with humidity as an environmental variable results in a total cost of $205.80 for a month. The total expenses incurred using proposed FIS are less as compared to existing FIS where Mamdani FIS costs $277.63 and Sugeno FIS without humidity parameter costs around $257.82 for a month. Total Cost incurred with proposed FLC in Cold Cities  
As shown in Figure 25, the scheme using Mamdani FIS without humidity results in total cost of $11.19, Sugeno FIS without humidity costs $11.25, whereas the proposed Mamdani FIS with humidity shows that total cost incurred is $9.42, and Sugeno FIS with humidity costs $9.30 for energy consumption in a day. Moreover, Mamdani FIS with humidity shows the efficiency of 16.44% in cost reduction and 17.33% efficiency of Sugeno FIS with humidity in bill cost reduction as compared to the existing FIS without including humidity as an input parameter. We also compared the result of monthly consumption using proposed techniques for the cold city with those of the existing methods. As shown in Figure 26, Mamdani FIS and Sugeno FIS with humidity variables result in monthly costs of $282.87 and $279.17, respectively. These results show an increase in efficiency as the Mamdani FIS without humidity and Sugeno FIS without humidity as an input parameter results in the monthly cost of $335.75 and $337.76, respectively. Figure 22: One month simulation of energy consumption for cold cities. $6.79 and Sugeno FIS with humidity FIS costs $0 Daily cost for energy consumption in the hot cities. $6.79 and Sugeno FIS with humidity FIS costs $1 Monthly cost of energy consumption in the hot cities. $6.79 and Sugeno FIS with humidity FIS costs $2 Daily cost for energy consumption in the cold cities. Results for PAR using proposed FIS  
Peak-to-Average Ratio (PAR) is an important measure that is compared and observed when energy consumption is minimized either by load shifting or by load curtailment. It is often seen that appliance scheduling often results in an increase in the PAR when shifting load from high peak to low peak hours. PAR of the cold cities is shown in $6.79 and Sugeno FIS with humidity FIS costs $3 Clearly, it can be seen that Mamdani FIS with humidity achieved 12% efficiency as compared to Mamdani FIS without humidity, whereas the efficiency of Sugeno FIS with humidity is 10%. However, if the simulation was run for hot cities, no prominent efficiency was achieved. The reason behind this kind of behavior of proposed FLC is that it is mainly focused on the energy consumption minimization. Improvement in the PAR for cold cities can be considered as a by-product of the proposed FLC. $6.79 and Sugeno FIS with humidity FIS costs $4 Peak-to-Average Ratio (PAR) of cold cities. $6.79 and Sugeno FIS with humidity FIS costs $5 Monthly cost of energy consumption in the cold cities  
User Comfort maintenance using proposed FIS  
The proposed FLC was working on the initialized set-points keeping in mind Figure 8, which shows a range of temperature that lies in user comfort for a particular relative humidity value. It was observed that, in previous techniques like [28; 44], user comfort was mostly sacrificed. Using Figure 8, we are allowed to set high set-points for hot cities and low set-points for cold cities.