@article {10.3844/jmssp.2026.29.44,
article_type = {journal},
title = {A Mixed Integer Linear Programming for Optimising the Residential Solar Energy Storage System},
author = {Mbainaissem, Teube Cyrille and Dione, Dethie and Kone, Bakary and Toure, Youssoupha},
volume = {22},
year = {2026},
month = {Jul},
pages = {29-44},
doi = {10.3844/jmssp.2026.29.44},
url = {https://thescipub.com/abstract/jmssp.2026.29.44},
abstract = {The global electricity sector is facing a major transition to sustainable energy sources, with consumers playing a crucial role in realising the full potential of the international energy market. Residential energy storage systems are a priority to promote local flexibility and participation in the energy transition. The combination of solar energy generators and storage batteries is a key method of achieving self sufficiency in residential buildings, thereby increasing individual household independence. A mixed-integer linear programming (MILP) model formulated in AMPL and solved with CPLEX optimizes battery dimensions and operation, thereby improving performance and extending lifespan.},
journal = {Journal of Mathematics and Statistics},
publisher = {Science Publications}
}