Predicting User Behavior for Energy Saving

2013 ◽  
pp. 557-576
Keyword(s):  
Energy Saving ◽  
User Behavior

The Study of Household Electricity Planning Based on User Behavior

2015 ◽  
Vol 740 ◽  
pp. 994-997
Author(s):  
Zhao Yang Qu ◽  
Zhong Chao Zhang ◽  
You Xue Ren ◽  
Jian Hong Zhang ◽  
Peng Xin
Keyword(s):  
Energy Saving ◽  
Energy Policy ◽  
User Behavior ◽  
Electricity Consumption ◽  
Cost Of Electricity ◽  
Electricity Planning ◽  
Save Energy ◽  
Saving Effect ◽  
The Cost

Energy saving is an important component in China’s energy policy. Respondents show some willingness to save energy as long as their comfort and convenience can be maintained. This paper proposes a strategy of household electricity consumption based on user’s habits. By adjusting the cost and satisfaction factor in the strategy, many electricity programs can be given responding to different energy-saving effect. At last, it gives the energy saving time to use appliances. The experiment results show that this strategy can significantly reduce the cost of electricity and ensure the user’s satisfaction.

An automatic energy saving strategy for a water dispenser based on user behavior

2022 ◽  
Vol 51 ◽  
pp. 101503
Author(s):  
Shuo-Yan Chou ◽  
Anindhita Dewabharata ◽  
Yudhistira C. Bayu ◽  
Ray-Guang Cheng ◽  
Ferani Eva Zulvia
Keyword(s):  
Energy Saving ◽  
User Behavior

scholarly journals The potential of Personal Conditioning Systems

2019 ◽  
Vol 282 ◽  
pp. 02098
Author(s):  
Sven De Turck ◽  
Nathan Van Den Bossche ◽  
Jelle Laverge
Keyword(s):  
Energy Saving ◽  
Energy Savings ◽  
User Behavior ◽  
Thermal Sensation ◽  
Hvac Systems ◽  
Indoor Climate ◽  
Systematic Assessment ◽  
Energy Saving Potential ◽  
Safe Side ◽  
The One

Traditional HVAC systems provide a uniform indoor climate for the whole building or space, whereas the occupants each have their own comfort preferences. The result is suboptimal comfort for the occupants on the one hand, with at best up to 5 % of dissatisfied, and energy losses due to control on the safe side by the building operators. Personalised conditioning systems (PCS) do not aim to heat, cool or ventilate the space but to deliver the heat, cold and fresh air directly to the occupant. This paper provides a systematic assessment about the energy saving potential and potential comfort gains that can be achieved by implementing localized and personal HVAC systems in home environments. Using the Human Thermal Module software that allows to study the thermal sensation and thermoregulation under transient and asymmetric environmental conditions, the energy saving potential was evaluated in TRNSYS, and for a case study with different user behavior patterns it was shown that comfortable micro-climates can be achieved by means of heated chairs for an air temperature as low as 17°C, and the total annual energy savings amount to 30% in winter conditions and 70% in summer conditions.

Subjective Time Preference and Willingness to Pay for an Energy-Saving Durable Good

2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink
Keyword(s):  
Willingness To Pay ◽  
Energy Saving ◽  
Subjective Time ◽  
Durable Good ◽  
Discount Function ◽  
Hyperbolic Discount ◽  
The One ◽  
Two Parameter ◽  
Difference Effect ◽  
Better Than

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.

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