Volume 7 | Issue 1 |

 Abstract

The use of renewable energy sources (RESs) at the distribution level has become increasingly appealing in terms of costs and technology, expecting a massive diffusion in the near future and placing several challenges to the power grid. Since RESs depend on stochastic energy sources --solar radiation, temperature and wind speed, among others they introduce a high level of uncertainty to the grid, leading to power imbalance and deteriorating the network stability. In this scenario, managing and forecasting RES uncertainty is vital to successfully integrate them into the power grids. Traditionally, physical- and statistical-based models have been used to predict RES power outputs. Nevertheless, the former are computationally expensive since they rely on solving complex mathematical models of the atmospheric dynamics, whereas the latter usually consider linear models, preventing them from addressing challenging forecasting scenarios. In recent years, the advances in machine learning techniques, which can learn from historical data, allowing the analysis of large-scale datasets either under non-uniform characteristics or noisy data, have provided researchers with powerful data-driven tools that can outperform traditional methods. This research investigates the application of machine learning models to optimize renewable energy systems and contribute to achieving Net Zero emissions targets. The primary objective is to evaluate how machine learning can improve energy forecasting, grid management, and storage optimization, thereby enhancing the reliability and efficiency of renewable energy sources. The methodology involved the application of various machine learning models, including Long Short-Term Memory, Random Forest, Support Vector Machines, and ARIMA, to predict energy generation and demand patterns.

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Machine learning, Renewable energy net zero energy forecasting, Grid optimization, CO2 emissions reduction, Renewable energy sources, Machine learning, RES power output forecasting.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ye To Americi Hai : Cheif Ki Dawat

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Ye To Americi Hai : Cheif Ki Dawat

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Financial inclusion is the process of ensuring access to financial services and credit for all, especially the economically underprivileged. A large segment of India's population are left out of the ambit of banking services due to plethora of issues which exists in the conventional banking system. It is ironical to state that more than one third of the total population in underdeveloped countries are still excluded from the ambit of banking services. Many research studies conducted in this direction infer that, bringing those financially excluded population, under the banking ambit, results in not only individual welfare and results in social welfare too. From past almost one decade, the G-20 countries and the World Bank have led the initiative for increased financial inclusion in developing countries to help reduce poverty levels in developing and emerging economies. Financial inclusion has been a cornerstone of economic development in India. Digital banking, leveraging technology to deliver banking services through electronic platforms, plays a transformative role in this regard. This research report explores how digital banking contributes to financial inclusion, focusing on its impact in rural India. Digital banking encompasses a range of services, including online banking, mobile banking, digital wallets and micro-ATMs, which have drastically simplified access to financial services. The advent of the internet, smartphones and government-led initiatives like Digital India have fueled the adoption of digital banking. Digital banking allows people in remote areas to access financial services without visiting physical bank branches, overcoming barriers such as distance and time constraints. Services like Aadhaar-enabled Payment Systems (AePS) and mobile banking facilitate secure, instant transactions, even in rural areas. This research article provides a detailed discussion on digital finance and explores the impact of digital finance for financial inclusion and financial system stability - an issue which has not been addressed in the earlier studies.

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Financial literacy, Digital Finance, Financial Inclusion, Rural India, Performance.

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The Maratha and Bahamani Sulthana, S have played a dominant role in the Political and Cultural History not only in Karnataka but also in South India. Their contribution to the political history, administration, Religion, Literature, Art and Architecture are varied and interesting. The Maratha dynasty had the great fortune Shivaji of having a very illustrious king, who made Maratha dynasty politically and culturally great The Maratha and Bahamani Sulthana Court consists of the complete activities of kings. queens, prince and princess ministers, commanders, scholars etc.

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Coun. Harmony, Vendatornes, Assembly, Hiranyagarbar Asvamedha

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Saamidheni Mantra Vyakhyana Vivaranam

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Saamidheni Mantra Vyakhyana Vivaranam

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Additive, gas sensors, thick films, electrical properties, recovery time, NH3 gas.

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Quantum computing is poised to revolutionize a broad range of fields, from physics and chemistry to artificial intelligence and cryptography. Unlike classical computers, which rely on binary bits, quantum computers use quantum bits (qubits) that exploit the principles of superposition and entanglement, enabling them to perform computations that would be infeasible for classical systems. This paper explores the transformative potential of quantum computing in scientific research, focusing on its ability to address complex problems in optimization, material science, and drug discovery. We also examine the challenges that must be overcome to fully harness this technology, including scalability, error correction, and the development of quantum algorithms.

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Transforming Research with Quantum Computing: A Paradigm Shift in Science and Technology

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Mahabhar Me Mahailoa Ki Bhumika

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Mahabhar Me Mahailoa Ki Bhumika

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The stability of a liquid soaked permeable layer warmed from below is inspected for the situation of a time dependent gravity by making a linear stability analysis. The perturbation method is used to work out the critical Rayleigh and wave numbers for small amplitude gravity modulation. The correction Rayleigh number is estimated as a function of frequency of the modulation, viscosity ratio, Prandtl number, porous parameter and couple stress parameter. We found that it is possible to progress or postpone the onset of convection in systems with couple stress fluid by proper regulating of the frequency of the gravity modulation. The impact of various parameters on the stability of the system is brought out.

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 Keywords

Convection, Couple stress fluid, Porous medium, , Gravity, Linear stability analysis, Modulation.

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