Artificial Intelligence Avoids Energy And Food Wastage Methods

Artificial Intelligence Avoids Energy And Food Wastage

Artificial Intelligence Avoids Energy and Food Wastage Methods

The effect of house space occupancyand building characteristics onhouseholder electricity energy use In general, society believes large space size occupancy house building characteristics factor which will influence householder use more energy at home, e.g. in summer, when the householder is living at the large space size occupancy house, who ought turn on all air conditions or fans at sleeping rooms or eating room or studying room. So, if the householder's house has two to three or more sleeping rooms. Then, he / she needs to buy more air conditions or fans in order to let all rooms' temperature to be fallen down to let he /she feel more cool comfortable feeling when the temperature is above 30 degree or more extreme hot in summer weather. Otherwise, when the temperature is low, e.g. between 0 degree to 10 degree or below 0 degree in winter weather. When the householder is living in one large space size occupancy appartment, which has thee to five sleeping rooms, even more and two studying rooms and one eating room, even more as well as every room has one heater. Then, he / she must turn on all heaters to let who to feel warm feeling when he / she is staying in the house. It brings these interesting questions.Will large or small size space occupancy housing characteristics influence any householder often turn on heater or air condition or fan in whole house space occupancy area in order to the householder feels warmer or cooler feeling when he /she is staying in the house?Has any space occupancy housing characteristics relationship to influence any householder to turn on heater or air condition or fan in whole house space occupancy area in order to the householder feels warmer or cooler feeling when he /she is staying in the house?Does it bring positive relationship between turning on long time fan or air condition or heater and the house occupancy space characteristics is large or small size?I shall attempt to give psychological evidences to explain the householder's house space occupancy area large or small size factor whether it can influence the householder choose to do long time or short time turning on heater or air condition or fan behavior in order to let he/she/the family to feel more cooler or warmer comfortable feeling when he/she/the family is staying in the house in summer or winter weather.Does the house occupancy space size characteristics factor is the only one or important factor to influence the householder choose to turn on long or short time fan or air condition or heater in the house to let him/her/the family to feel more cooler or warmer comfortable feeling in summer or winter weather?

Energy Efficient Algorithms and Green Data Centers for Sustainable Computing

As the demand for computing surges, the need for sustainable solutions has never been more urgent. Energy-efficient algorithms and green data centers are the at the forefront of sustainable computing which aims to reduce carbon footprints while maintaining high- performance capabilities. Traditional data centers consume a vast amount of electricity, contributing to the environmental impact. By integrating energy efficient workloads and renewable energy sources, green data centers can minimize waste and enhance efficiency. These advancements support environmental sustainability while driving cost savings and operational resilience, paving the way for a greener digital future. Energy Efficient Algorithms and Green Data Centers for Sustainable Computing explores sustainable computing, including advancements in energy efficient algorithms and green data center strategies. It addresses the environmental challenges and increasing energy demands of modern computing. This book covers topics such as energy efficient algorithms, green data centers, and sustainability metrics and assessments, and is an excellent resource for researchers, academicians, data scientists, environmental scientists, software developers, and technology entrepreneurs.