TY  - JOUR
AU  - Mbainaissem, Teube Cyrille 
AU  - Dione, Dethie 
AU  - Kone, Bakary 
AU  - Toure, Youssoupha 
PY  - 2026
TI  - A Mixed Integer Linear Programming for Optimising the Residential Solar Energy Storage System
JF  - Journal of Mathematics and Statistics
VL  - 22
IS  - 1
DO  - 10.3844/jmssp.2026.29.44
UR  - https://thescipub.com/abstract/jmssp.2026.29.44
AB  - 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.