Replication Data for Chen, V.L., Delmas, M.A., Locke S., Singh, A. 2017. Information Strategies for Energy Conservation: A Field Experiment in India. Energy Economics.
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data presented in this article are related to the research article entitled: “Information Strategies for Energy Conservation: A Field Experiment in India” (Victor L. Chen, Magali A. Delmas, Stephen L. Locke, Amarjeet Singh, 2017).The availability of high-resolution electricity data offers benefits to both utilities and consumers to understand the dynamics of energy consumption for example, between billing periods or times of peak demand. However, few public datasets with high-temporal resolution have been available to researchers on electricity use, especially at the appliance-level. In this article, we describe data collected in a residential field experiment for 19 apartments at an Indian faculty housing complex during the period from August 1, 2013 to May 12, 2014. The dataset includes detailed information about electricity consu' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Energy Conservation","Energy Feedback","Field Experiment","Information Strategies"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data presented in this article are related to the research article entitled: “Information Strategies for Energy Conservation: A Field Experiment in India” (Victor L. Chen, Magali A. Delmas, Stephen L. Locke, Amarjeet Singh, 2017).The availability of high-resolution electricity data offers benefits to both utilities and consumers to understand the dynamics of energy consumption for example, between billing periods or times of peak demand. However, few public datasets with high-temporal resolution have been available to researchers on electricity use, especially at the appliance-level. In this article, we describe data collected in a residential field experiment for 19 apartments at an Indian faculty housing complex during the period from August 1, 2013 to May 12, 2014. The dataset includes detailed information about electricity consu' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data presented in this article are related to the research article entitled: “Information Strategies for Energy Conservation: A Field Experiment in India” (Victor L. Chen, Magali A. Delmas, Stephen L. Locke, Amarjeet Singh, 2017).The availability of high-resolution electricity data offers benefits to both utilities and consumers to understand the dynamics of energy consumption for example, between billing periods or times of peak demand. However, few public datasets with high-temporal resolution have been available to researchers on electricity use, especially at the appliance-level. In this article, we describe data collected in a residential field experiment for 19 apartments at an Indian faculty housing complex during the period from August 1, 2013 to May 12, 2014. The dataset includes detailed information about electricity consu
Energy Conservation; Energy Feedback; Field Experiment; Information Strategies