Energy Efficiency In Boston’s Hospitality Industry: Best Practices For Profit – Energy Saving Task Scheduling Based on Hard Reliability Requirements: A Novel Method with Low Energy Consumption and High Reliability.

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Energy Efficiency In Boston’s Hospitality Industry: Best Practices For Profit

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Feature papers represent the most advanced research with the greatest potential for high impact in the field. A Feature Paper should be a large original Article that includes several methods or approaches, provides an overview of future research directions and describes possible research applications.

Section papers are submitted by individual invitation or recommendation of the scientific editors and must receive positive comments from reviewers.

Editor’s Choice articles are based on the recommendations of scientific journal editors from around the world. The editors select a small number of recently published articles in the journal that they believe will be of particular interest to readers, or important in a different research area. The aim is to provide a snapshot of some of the best work published in the various research areas of the journal.

Energy Efficiency by Implementing an AI Model to Predict Room Availability Based on Thermal Comfort Parameters.

Energy Saving Smart Windows Could Help Combat Climate Change

By Shahira Assem Abdel-Razek Shahira Assem Abdel-Razek Scilit Preprints.org Google Scholar 1, * , Hanaa Salem Marie Hanaa Salem Marie Scilit Preprints.org Google Scholar 2 , Ali Alshehri Ali Alshehri Scilit Preprints.org Google Scholar 3 and Omar M. Elzeki Omar M. Elzeki Scilit Preprints.org Google Scholar 4, 5

Department of Electronics and Communication Engineering, Faculty of Engineering, Delta University of Science and Technology, Gamasa 35712, Egypt

Received: 3 May 2022 / Revised: 12 June 2022 / Accepted: 21 June 2022 / Published: 24 June 2022

The estimation of the presence of a room based on the quality of the indoor environment may be the success of ensuring energy efficiency and creating an indoor environment designed for each user. Determining whether temperature, humidity, lighting, and CO

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Conditions can be used as an accurate predictor of the accuracy of the room needed to help designers use the readings and data collected to improve the interior design, in order to better fit the users. It also aims to contribute to energy efficiency and conservation in the face of the growing energy crisis and the dangerous conditions of climate change. This paper evaluated the accuracy of room detection using a dataset with different types of illumination, CO.

, and humidity. As classification algorithms, K-nearest neighbors (KNN), hybrid Adam optimizer-artificial neural network-back-propagation network (AO-ANN (BP)), and decision trees (DT) were used. Additionally, this research is based on interpretive machine learning techniques. Shapley’s supplementary analysis (SHAP) improves interpretation by calculating the significance value for each component for the groups used. The results show that KNN performs better than DT ranking models and AO-ANN (BP) has 99.5%. Although these two groups are designed to evaluate the difference in definitions, we must make sure that they have an accurate analysis. The results show that SHAP provides a successful implementation following these metrics, and there are differences found among the types of groups that support the idea that the complexity of the model plays an important role in the forethought.

Smart cities; smart buildings; stability; sustainable development objectives; healthy cities; strong force; room availability; thermal comfort; user-centered design; artificial intelligence

It is no secret that by 2050, about 70% of the world’s population will be in urban areas [1, 2]. The rate of urbanization is staggering and shows no signs of slowing down. Thus, the best option concerned with people and policy makers is to adapt to the current situation rather than to reduce its side effects [3, 4]. To mitigate the major threats that urbanization will have on the environment, technology has been used to help assess, intervene, resolve and sustain these negative impacts; these can be independent initiatives or more integrated in the form of a smart city. The smart city project aims to put the comfort and well-being of citizens and residents at the center of technology [5], and with its development, many projects were developed to ensure health and well-being [6]. Although it was only recently defined, this project focused on city management and technology as separate entities, not parts of the whole [7]. However, several other aspects are included in the smart city principles that aim to achieve general aspects of cities such as infrastructure [1], living and improvement of environmental conditions [8], as well as energy and infrastructure [9]. These can be achieved with embedded sensors and data collectors that can be considered important in large parts of smart cities and smart buildings, aimed at improving building design by collecting and analyzing data [10 , 11]; these processes can be implemented at the city and country level to improve resource efficiency. In 2016, [12] stated that smart cities aim to use digital technologies to improve efficiency, reduce costs and resource consumption, and interact more effectively and actively with their citizens, which leading to the well-being of their citizens.

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A rich dialogue on the existence of healthy cities and the goal of SDG 11 is prominent and cannot be ignored; scientists, technologists, and academics have fully contributed to this great growth of visible and abundant literature today [13, 14, 15, 16, 17, 18]. Implementing these strategies in smart cities means adapting existing infrastructure to better adapt to ongoing environmental or social disasters [19, 20]. To help correct some of these phenomena, the construction sector is expected to overcome its negative effects on the environment (more than 70% of all greenhouse gases produced are found in that sector alone). That is why examining what helps the building to restore the environment is an important way that should be at the forefront of academics and scientists today.

In 2017, implementation strategies were introduced to address the existing strategies defined by the goal of SDG 11. One of these strategies to achieve sustainability in smart cities, focused on climate change, is helping to improve environmental performance and aiming to create climate-resilient buildings and structures [7, 21].

By focusing on architecture and helping designers better design better indoor environments for end-users, the overarching goal of architects, emphasizing comfort and beauty as well as enjoyment and relaxation in general, is are being clarified and avoided to confirm. better user experience in an increasingly competitive environment. Designers today are focused on integrated and comprehensive design that aims to combine many methods to help the user get better results, either by installing new services (devices, sensors, etc.) or by computers that support and facilitate planning using machine learning and artificial intelligence. Now this hype is in full effect. However, understanding the factors that affect occupants’ feelings and thermal comfort is imperative to ensure the safety and comfort of any indoor space and to promote the health and well-being of occupants.

Thermal comfort consists of a set of physiological and environmental factors related to the individual. Although the average thermal comfort ratio is 80% percent instead of the normal 50% [22], it confirms that the close design is suitable for most people and is better installed in the majority than the old average. To determine the thermal comfort should always keep in mind the physical characteristics of the inhabitants of the surrounding area; factors such as weight, age, physical condition, and gender all influence an individual’s sense of well-being; although environmental factors may remain the same, all these factors contribute to the metabolic rate and the effect of temperature on the individual.

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Among the main indices of thermal comfort of the environment, relative humidity and temperature are the usual measurements aimed at designing the indoor environment. The most common design criteria are the overall air change rate followed by CO

Conditions and changing conditions of organic compounds. These processes independently, or combined, affect the overall user experience and perception of the area as well as the level of well-being, and ultimately can affect physical and mental health [23], as well as productivity [24 , 25].

With clear climate change and the emphasis placed on the importance of reducing the impact that the infrastructure sector has on the world to ensure sustainable development, energy use is now the next thing. before many organizations and businesses around the world; The full awareness of the global energy crisis is leading many people to search for clean and healthy alternatives to non-renewable fuels, and ultimately leading to the use beautiful and efficient, and the use of renewable energy sources. However, even with the adaptation process, reductions in areas where renewable energy projects may have high initial costs, especially in areas where financing is not readily available, should be to investigate the inevitable way to incorporate new technologies and methods to ensure energy efficient and cost effective use. .

Thermal comfort index is one of the most important for people

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