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March 12, 2026Energy Storage

Efficient Energy Management for Smart Homes: A Multiobjective Approach With Solar and Battery Integration

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Authors

MDMohammad DanishAMArshad MohammadIAImtiaz Ashraf

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Overview

This algorithm optimizes energy management in smart homes, indicating significant cost savings and efficiency improvements.

Key Points

  • The aim is to develop an efficient algorithm for managing energy in smart homes by integrating solar power and battery systems.
  • Implemented a multistage hybrid energy management algorithm.
  • Utilized advanced global optimization techniques for scheduling household appliances.
  • Employed a rule-based control strategy for managing energy storage systems.
  • Applied the Nondominated Sorting Genetic Algorithm II to generate multiple Pareto-optimal solutions.
  • Achieved electricity cost savings between 38.53% and 61.38%.
  • Reduced the peak-to-average ratio by 25.63% to 16.80%.
  • Generated multiple Pareto-optimal solutions for various energy scenarios.

Cite This Study

Danish et al. (2026) studied this question.

synapsesocial.com/papers/69b2581996eeacc4fcec76d1https://doi.org/10.1002/est2.70379
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