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The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.

In the southern hemisphere, the Antarctic continent is also experiencing a net loss in ice from the extensive glaciers and ice sheets that cover it. However, the connection between changes in Antarctic ice sheets and the global warming trend are much more uncertain than in the Arctic. The complex of changes in the Antarctic climate and the ice sheets are described in a later section of this chapter.

In the 1950s, a combination of technological and scientific advancement, political competition, and changes in popular opinion about spaceflight generated public policy in favor of an aggressive space program. This and that of 1960s moved forward with a Moon landing and the necessary budgets. Space exploration reached equilibrium in the 1970s, sustained through to the present. The twenty-first-century progresses signals that support for human space exploration is waning and may even begin declining in the coming years. This chapter reviews this history and analyzes five rationales suggested in support of continued human spaceflight: discovery and understanding, national defense, economic competitiveness, human destiny, and geopolitics.

Sustainable use of water, which is one of the most important natural renewable resources in Bosnia and Herzegovina, should be a priority and an integrative objective of sustainable development. In accordance to that, it is necessary to provide the satisfactory amount of water of an adequate quality for various purposes, to reduce damage from water, and to achieve a good ecological potential of water, thus ensuring the sustainability of this resource, at the same time not jeopardizing the ecosystems that depend on it.

Encouraging irrigation, especially of small farmland and orchards, careful construction of small hydropower plants, the development of fisheries and tourism on and by the water, much greater use of mineral and thermal waters, and other possibilities provided by unused renewable resources in Bosnia and Herzegovina provide significant opportunities to develop an environmentally friendly economy. Application of the principles of sustainable development and set goals requires more precise definition and putting into a clear economic, environmental, social, and institutional context.

Among the good things that economic progress provides us is access to better health and longevity. The average life span in the advanced countries was of the order of 40 years in 1900; it is well over 70 a little more than a century later. It has also grown in less developed countries; as poor a country as Bangladesh has a life expectancy about 65. In fact it has been argued that inequality among countries in life expectancy is less than that in per capita income.

This study has covered many types of solar-powered air-conditioning systems that may be used as an alternative to traditional electrically powered air-conditioning systems in order to reduce energy usage. Solar adsorption air cooling is a great alternative to traditional vapor compression air-conditioning. Solar adsorption has several advantages over traditional vapor-compression systems, including being a green cooling technology which uses solar energy to drive the cycle, using pure water as an eco-friendly HFC-free refrigerant, and being mechanically simple with only the magnetic valves as moving parts. Several advancements and breakthroughs have been developed in the area of solar adsorption air-conditioners during the previous decade. However, further study is required before this technology can be put into practise. As a result, this book chapter highlights current research that adds to the understanding of solar adsorption air-conditioning technologies, with a focus on practical research. These systems have the potential to become the next iteration of air-conditioning systems, with the benefit of lowering energy usage while using plentiful solar energy supplies to supply the cooling demand.

The performance of thermal comfort utilising machine learning and its acceptability by students and other users at the Professor Sir Edouard Lim Fat Engineering Tower at the University of Mauritius are evaluated in this study. Students and building occupants were asked to fill out surveys on-site as data was gathered from sensors throughout the structure. The Thermal Sensation Vote (TSV) and other important data were collected through the surveys, including the effect of wind on thermal comfort. An adaptive model incorporating solar and wind effects was evaluated using multiple linear regression techniques and RStudio. Three models were used to evaluate thermal comfort, including the adaptive one. Numerous models were compared and evaluated in order to select the best one. It was found that the adaptive model (Model 1) was deemed to be the best model for its application. It was also found that Fanger's PMV/PPD (Model 2) was a very good approach to determining thermal comfort. Through thorough analysis, it was concluded that the range of air temperature and wind speed for thermal comfort was 25.830°C–28.0°C and 0.26 m/s to 0.42 m/s, respectively. In order for cities to remain secure, resilient and sustainable, it will be important to manage thermal comfort and reduce populations' exposure to heat stress (SDG 11). The achievement of income and productivity goals will be hampered if measures to protect populations from heat stress are not taken (SDG 8). Thermal regulation is also necessary for the provision of numerous health services (SDG 3).

Uzbekistan easily gets 300 days of sunshine a year, and is a natural choice for development of solar technologies and their implementation. Central Asia is working together to solve critical water problems including contamination and dry wells. This chapter addresses the need to find solutions for rural populations living in the shadow of the Aral Sea disaster, with poor quality drinking water and limited infrastructure. With assistance from generous government funding, the Institute for Solar Energy is developing new point-based solar desalinization and pumping technologies. Preliminary designs are promising and government support for raw materials mining and wafer production are growing. Domestic R&D and production ensures cost-effective dissemination options. The Institute houses both research and project management for all solar technologies and expects to field test prototypes within 2–3 years. Solar energy is a growing sector in the economy of Uzbekistan.