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With the increasing demand for energy worldwide, it has become imperative to explore and adopt sustainable energy practices. In this regard, predicting household electricity consumption accurately is essential, as it can help optimize energy usage and reduce waste. This paper focuses on using Long Short-Term Memory (LSTM) shows the neural networks to prevent household electricity consumption in India. The LSTM model was implemented using the Keras library in Python. The model was trained using the training set and tested using the testing set. The study demonstrated that LSTM neural networks are a promising approach to predicting household electricity consumption in India. Further research can be conducted to recover the accuracy of the perfect by including more variables such as household size, income, and appliance usage. [ABSTRACT FROM AUTHOR]

Environmental pollution is at present a major global concern. Internal combustion engines toxic emissions are one of the primary air pollutants. To reduce the effects of fossil fuel emissions and address environmental issues, electric vehicles (EVs) are being aggressively promoted around the world. To estimate electric mobility as a good solution, almost 31% of India's population lives in cities. This number is projected to increase to 40% in 2030 and 50% in 2050. Electric-powered trains can help reduce urban air pollution, reduce emissions and improve fuel safety. In this paper, the impact of electric vehicles on grid and battery requirements in India's potential EV adoption scenario is analyzed. The government is motivating people to adopt electric vehicles. Studies suggest that high cost of electric cars, unavailability of charging infrastructure, myths related to electrical vehicles may serve as barriers to customer acceptance. On road EVs by 2030 has been called by Government of India. In this paper, the estimation has been done for number of EVs that will be sold in 2030 and the requirements of battery pack for EVs accordingly, and the electrical power required from grid for charging EVs. EV sales and other relevant details has been estimated to promote EVs. The future forecast evaluation predicted shows that by 2030, 5 to 7 percent of total electricity demand will be used to charge EVs. [ABSTRACT FROM AUTHOR]

Now day's electricity demand is increasing, but changes in demand has effect on electricity grid and it causes power blackout. If demand is higher than supply of electricity, then frequency goes down & if supply is higher than demand, then frequency rises. In India, all equipment are designed to operate with 50Hz frequency. If changes occurred in frequency, then all equipment can be damaged. So this project is designed to detect demand theft. Each consumer has some sanctioned load. If aconsumer has increases the load than the sanctioned load, then demand theft is detected and load is disconnected automatically from supply. This system is consists of sensing element CT and PT, ADE7758 meter IC, Atmega328p micro-controller and ESP8266 Wi-Fi module. The proposed system can overcome the drawback of extra energy billing cost or send notifications from electricity board, even energy billing costs are paid regularly. This proposed prepaid energy meter monitors the unit consumed by consumer and transfer the used units and remaining units over the internet to consumer.so this information is available to both consumers and utility. [ABSTRACT FROM AUTHOR]

Throughout the world, electricity has been in high demand. We don't have enough resources to compensate for thelack of electricity. The demand for energy in India has grown at a pace of 3.6 percent per year for the last 30 years due to the country's economic growth. India's overall electricity demand is expected to reach 950000 megawatts by 2030. Wind energy is one of the most popular renewable turbine energy sources for addressing such issues. By utilising two types of wind, wind energy plays a significant role in the production of electricity. They are wind turbines with horizontal and vertical axes (HAWT AND VAWT). The main goal of this project is to design and construct a vertical axis wind turbine that will generate electricity. We can generate electricity on a small scale by building a vertical axis wind turbine with helical shape blades, as vertical axis wind turbines can accept wind from any direction, making them omnidirectional. Because the area of contact between the air and the helical blade is large, we chose this design. As a result, the rotational speed of the blades will rise, resulting in more power being produced. [ABSTRACT FROM AUTHOR]

Efficient control, monitoring and energy conservation plays important role in the assessment of annual investment on electricity consumption in every industry. In central India there are few industries who invest approx. one third from their profit on electricity bills on every month. Out of several loads the one which is considered as most energy intensive load is process where to reduce the thickness of the cold rolling coils as per requirement. Here the power requirement is fulfilled by a distribution transformer which is used to drive the mill motors, entry tension reel, dispatch tension reel and auxiliaries. The data available in an industry can be used to reduce the power consumption and ultimately which may lead to lessen the electricity bill of an industry. To reduce the thickness of the sheet is limited and in order to reduce the power consumption, the constraints such as grade of coil, number of passes and mill reduction capacity has to be taken into consideration. The data such as weight of the coil, number of existing passes, the starting thickness and ending thickness is available in industry and can be used to calculate length of coil and further using the length average speed and total time can be calculated using simple mathematics. In order to monitor and control the several physical quantities such as flow, pressures, temperatures, liquid levels and their detection, several transducers are used in an industry. Proper selection of these devices and the knowledge associated with them are necessary for their implementation and figure out the faults associated with it. Thus, the overall measuring processes are improved and cost of future expansion is reduced by proper knowledge and ratings of the transducers. [ABSTRACT FROM AUTHOR]

In the present study, the effects of different building orientations, different types of roof surfaces, wall materials and type of fenestrations on electric power consumption and annual cost of electricity in a residential building at different locations of Himalayan terrain of India have been analysed. The analysis has been done by using a building energy efficiency simulation software tool named eQUEST. A small general residential building is designed having net floor area of 500 feet2 and is used for all the simulations at the locations-Dehradun, Imphal and Shillong according to the weather data available in eQUEST Data portal. A suitable combination of different building parameters has been determined for least annual power consumption and annual cost of electricity for the specified locations. Further, critical observations were noted for building performance in different locations. [ABSTRACT FROM AUTHOR]

Developing nations are facing a huge gap in generation and demand of electricity across the world. In present scenario the demand of electricity is increasing day by day and the shortfall of electricity has become one of the major obstructions in the development of rural areas. There is a big gap between electricity supply and demand. In India it is very difficult that to give twenty four hours electric supply in rural areas. The traditional use of camel as draught animal, for the purpose of transport of goods and agricultural work, has been drastically reduced during last few decades, due to advancements and cheaper availability of mechanical machineries. In this research paper we experimentally studied the camel powered electricity generation system at National Research Centre on Camels (NRCC) Bikaner. Camel Energy in form of high torque low speed can be converted into low torque high speed through motion converting system i.e. gear and pulley mechanism for high RPM output. This high RPM (more than 3000) output is used for electricity generation. The electricity generated can be used directly or stored in the battery and later may be used whenever it is required either for DC light or AC light using inverter. According to experimental study a camel can comfortably generate electricity up to 1KW by rotating shaft. The complete set up for electricity generation using camel power has been designed, developed and physically commissioned at National Research Centre on Camels (NRCC) Bikaner. [ABSTRACT FROM AUTHOR]