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Every shopping malls are bulk consumers, they are spending huge amount for their electricity bills in every month. Maximum demand also make a major part of electricity bills. The classic maximum demand controller will operate based on demand value and results on/off the non-critical loads. The non-critical loads are connected in single channel. In shopping malls parking area maximum plug in electrical vehicles are act as a major loads. The proposed Internet of Things based Maximum demand controller will operate the each plug in electrical vehicle sockets based on the State of charge. Proposed system results avoid unnecessary shut off of non critical loads like Air conditioner system. The exclusive microcontroller do all the functions.

A Quality electrical power supply must be available at all times, always within the frequency and magnitude tolerance limits, and always with a perfectly sinusoidal waveform. A reliable, efficient and safe power supply is essential for guaranteeing productivity and precision in any organisation. Energy cum safety audit helps in energy cost optimization, pollution control, safety aspects and suggest the method to improve the operating and maintenance. This paper presents preliminary results from a power quality and safety audit conducted at a industry building. Voltage and current were measured at various feeders; it was found that the main problems for the equipment installed were voltage sags, surges and more THD levels than normal levels. The paper examines the causes and effects of power disturbances that affect the printing machines and other microprocessor-based equipment and analyzes the auto-protection capabilities of modern power supplies. Finally it is addresses the role of the standards on the protection of electronic equipment and the implications for the final costumer. Then it continues with installation of filters on the load side continued with constant maintaining of earthing system inorder to maintain the flow of neutral current in the feeders. This will help to maintain the system stability, reduce the losses occurring due to the presence of THD and reduce the energy bill followed by reduction of EB bus burden. The audit report basically list the recommended electrical machinery safety measure to reduce the energy and maintenance cost.

The present paper work introduce a new concept of converter techniques, because this method is widely used in industries purpose. So, the present paper work mainly focuses on converter to design and simulation done in PSIM Software. The three different proposed topologies of DC-DC converters are Zeta converter, Sepic converter and Luo converter are designed and theoretical derivations taken place in this paper. Further various ripple performance factors included in this work to identify which converter is best for industries applications. The low ripple techniques will identify and the switching characteristics losses, efficiency will be find out for the proposed work. The three converters were simulated in PSIM Software and the various parameters were found out.

The sorts of converters are characterized into six ages as per the qualities and improvement process. This characterization reviews all DC/DC converters and classifies new models. Since 2001, the DC/DC converter has been fabricated and this order has perceived in everywhere throughout the world. Presently it is anything but difficult to sort and apportion DC/DC converters and evaluate their specialized highlights. DC/DC converters are basic in assortment of uses including power supplies, for example, individual/smart phones, telephones, office equipment's, rocket control frameworks, and media transmission equipment's, and also heavenly bodies where input/yield voltage ranges cover. PWM age is viewed as the more essential in the Converter plan and a few multicarrier strategies have been produced to diminish the mutilation in level converters in light of the established with triangular transporters [1] . A DC/DC converter is an electronic circuit which changes over a wellspring of direct present (DC) starting with one voltage level then onto the next. It is a class of energy converter.

A Human Machine Interface (HMI) is an application that permits the correspondence between a man and a machine. Surface Electromyogram (sEMG) is an electrophysiological sign that gives inalienable data about the exercises of the human skeletal muscle. This paper proposes an sEMG design acknowledgment framework to control the myoelectric hand framework utilizing sEMG for HMI with the assistance of neural systems. Six parametric element extraction calculations are applied to get the unmistakable data from sEMG, for example, AR (Autoregressive) Burg, AR Yule-Walker, AR Covariance, AR Modified Covariance, Levinson Durbin Recursion, and Linear Prediction Coefficient. The sEMG signals are demonstrated utilizing General Regression Neural Network (GRNN), Probabilistic Neural Network (PNN) and Radial Basis Function Neural Network (RBFNN). The reaction of the HMI framework has gotten normal mean arrangement exactness of 94.04% for AR Burg highlights utilizing RBFNN. From the outcomes, it is seen that AR Burg utilizing the Radial premise neural system outflanked different systems in arranging twelve distinctive finger developments and females control the framework simpler than guys. It is likewise apparent that the age bunch between 26 and 30 delivered better exhibitions.

Lightning is a well-known life-threatening natural phenomenon. The lightning not only threatens the life of humans and animals but also threatens the nominal operation of electrical and electronics devices. Therefore, appropriate lightning arresting mechanisms should be designed to arrest the lightning and its impact, including voltage and current surges in power systems. To design the lightning surge arresters, the characteristics of the lightning have to be studied, which are presented in this paper.

Energy today had become a key factor in deciding the product cost at micro level as well as in dictating the inflation and the debit burden at macro level. Energy cost is a significant factor in economic activity. Energy audit helps in energy cost optimization, pollution control, safety aspects and suggest the method to improve the operating and ianmaintenance. Energy audit of a building is a systematic procedure which aims to evaluate the building existing energy consumption. The project proposes an overview of general energy conservation measures (ECMS) that can be recommended for leading institution. There is a continuous increase in the demand for energy to cater the needs of our educational institution. The audit report basically list the recommended energy conservation measure to reduce the energy cost.