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How Artificial Intelligence Help Householders Reduce: Electricity and Food Expenditure

How Artificial Intelligence Help Householders Reduce: Electricity and Food Expenditure

          
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About the Book

This Germany regional householder experiment found important implications for high or low housing quality of the regional property building and householders either property living or property rent intention of comfortable living feeling need factor which will influence the regional property householder electricity energy consumption desire to be raised or reduced. These factors will influence the consequence of electricity energy demand to be increased or decreased needs every day for the regional householder as well as the country's electricity energy supplier(s) can gather the regional properties whether they are high or low quality to predict the regional properties householders' electricity energy consumption supply budget more accurate. It implies that an important determinant of residential housing quality will have possible to influence electricity energy demand to be more or less for long term. IN particular, this Germany regional residential experiment can explain and find an important role in formulating assumptions about the quality factor has chance to influence the regional residential future levels of electricity energy efficiency and consumption in the country. Hence, housing developments and electricity energy firms can follow this regional residential housing quality factor to evaluate whether the regional housing market is the corresponding investment patterns as well as the energy researchers can follow the regional residential housing quality whether it is high or low housing quality factor to evaluate the more accurate models of regional electricity energy demand to any regional residential householders' houses in the country.In consumer behavioral view point, it explains that if the country government expected many householders feel to need to spend much electricity energy or have much electricity energy useful demand or desire at home. The country government ought to encourage the country residential property or house developers choose to build many houses which have technological product installed to satisfy the regional householders' residential comfortable living need when they choose the regions to build the high quality houses to let them to live. Then, the regional householders will be influenced to consume or use much electricity energy at homes, due to they feel that they are living at high quality and comfortable and high building technological installed apartments in the country's regions. Then, the country's government and electricity energy provider(s) may be raise much electricity energy efficiency and supply and profit, due to the regional residential householders' electricity energy consumption or useful desire need is therefore influenced to be more by the regional high quality of residential houses factor. So, the regional high quality of residential house factor will have relationship to the regional electricity energy consumption and efficiency to the regional householder's houses.Otherwise, if the country government felt electricity energy is shortage, it ought encourage the property developers build many low quality and low building technological houses to let householders to live themselves or rent to others to live in the country's different regional residential development market. Due to the low quality of properties and low technological installed to properties factor which will influence any these different regional residential householders to choose method to solve shortage of electricity energy challenge to the country.In conclusion, to apply consumer behavioral economic theory to property development market, if property quality factor can really influence the householder's electricity energy consumption desire to be used more or less at home daily. The country's property developers can apply this factor to predict property consumer individual property buying consumption behaviors more accurate.


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Product Details
  • ISBN-13: 9798738550560
  • Publisher: Amazon Digital Services LLC - KDP Print US
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 234
  • Spine Width: 15 mm
  • Width: 203 mm
  • ISBN-10: 8738550563
  • Publisher Date: 15 Apr 2021
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 652 gr


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