New Energy and Buildings Study Findings Have Been Reported from Zhongyuan University of Technology (Electricity Consumption and Load Prediction Method for Chinese Rural Residences Based On the Randomness and Seasonality In Electricity Usage ...)
- Jan 25, 2023 7:46 pm GMT
2023 JAN 24 (NewsRx) -- By a
Funders for this research include 2022 Henan Provincial Key Science and Technology program,
The news correspondents obtained a quote from the research from the
According to the news reporters, the research concluded: “Our research provides a comprehensive framework to predict the electricity consumption and load for Chinese rural residences from sampling and data acquisition to model development, and to preliminarily explore the power demand character-istics and significant influencing factors, which may provide valuable data for power grid design and pho-tovoltaic power generation systems.”
This research has been peer-reviewed.
For more information on this research see: Electricity Consumption and Load Prediction Method for Chinese Rural Residences Based On the Randomness and Seasonality In Electricity Usage Behavior. Energy and Buildings, 2023;278. Energy and Buildings can be contacted at: Elsevier Science Sa, PO Box 564, 1001 Lausanne,
Our news journalists report that additional information may be obtained by contacting Pengli Yuan,
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.enbuild.2022.112647. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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