Optimal Battery Size using Predicted PV Power and Load

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@article{1706319,
      author = {Gaurang Gupta, Sanyam Ahuja, Vrinda Goel, Deshendra Sihag, Vijander Singh},
      title = {Optimal Battery Size using Predicted PV Power and Load},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {3},
      pages = {579-587},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706319.pdf},
      abstract = {With the increasing adoption of renewable energy systems, such as photovoltaic (PV) systems, in buildings, the effective sizing of battery storage systems becomes crucial to ensure a balanced energy supply and demand. This study uses PV power prediction with the Facebook Prophet model to examine the ideal battery sizing for net-zero energy buildings (NZEB). In order to ensure effective energy usage and create a net-zero energy balance, the paper discusses the difficulties associated with integrating renewable energy sources, particularly photovoltaic systems, into buildings. Accurate projections of PV power generation are generated by utilizing the Facebook Prophet model?s capabilities, making it easier to choose the right battery size and model the PV system to accomplish NZEB. The research has important implications for energy management and sustainable building design, allowing net-zero energy buildings to store excess energy during times of high generation and use it during times of low generation or high demand.},
      keywords = {PV Modelling, Battery sizing, Load Forecasting, Facebook Prophet, Net Zero Energy Buildings},
      month = {September},
  }