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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]

Indian Consumer traditionally been known for the reusing product through generations to fullest of its life. Globalization has changed Consumer needs, purchasing power & social status which has sparked the changes in consumption pattern. Products are getting manufactured for single use instead of durable. This has been generating the lots of waste in day today life. Increasing population, its demand & consumption pattern has triggered a sharp rise in the input material demand & price. India's limited natural resources makes it difficult to suffice need of population. Circular Economy (CE) is the solution for the imbalance in supply vs. demand. It will bring societal changes towards circularity of product and material. Circularity helps to optimize the manufacturing cost and bring down product cost. CE enables the reduction in the waste generation in manufacturing industry as well as at customer end. CE is one of the biggest contributing factors towards United Nations Sustainable Goal (SDG12) of Sustainable Consumption & Production. CE Model serve the need of different economic layers of society. CE will help India in achieving economic prosperity and environmental goals. This Paper summarize the Circular Economy application areas and benefits in Indian Manufacturing Industry. [ABSTRACT FROM AUTHOR]

A lot of electrical and mechanical energy is wasted in the public toilets of government and private institutes, universities, and offices, in which exhaust fans run continuously during the daytime, throughout the year in India. Not only, a huge cost is involved just to exhaust foul air, but also, put on adverse effects on the environment. This event creates an undue burden on ecology and the economy. This study uncovers a solution to this research gap in the paper "Solar-assisted eco-innovation induces eco-ventilation." The system is an eco-friendly technology in which the eco-innovation system of heliostats focuses solar radiation on a hollow hot air bulb, creating a pressure difference to ensure air exchange, remove foul air, and enhance ventilation. Instead of depending on an electrical or mechanical exhaust system, this eco-innovation can be a business model that saves working costs as well as the environment, ensuring economical and ecological sustainability and also contributing to the development process. [ABSTRACT FROM AUTHOR]