Authored by Alam, Morshed et al. and published September 2022, this report underscores the role of artificial intelligence in optimizing the utilization of PV and BESS systems in conjunction with consumer needs. The report presents a residential energy management model that accounts for appliance operational constraints, PV generation forecasts, and grid electricity costs. The scheduling of BESS charging and discharging is determined through various control optimizations, considering day-ahead generation and consumption. In the most favorable scenario, the model demonstrated a potential reduction of up to 38.8% in daily electricity costs.

Keywords: Artificial Intelligence (AI), Automated Meter Reading (AMI), Control & Monitoring Equipment/Sensors, Renewable Energy, Smart Grid