Energy optimization in a family house

• Thesis title in Czech: Optimalizace energie v rodinném domě
• Thesis title in English: Energy optimization in a family house
• Key words: optimalizace energie|MILP|lokální prohledávání|přírodou inspirované algoritmy
• English key words: energy optimization|MILP|local search|nature inspired algorithms
• Academic year of topic announcement: 2023/2024
• Thesis type: Bachelor's thesis
• Thesis language: angličtina
• Department: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
• Supervisor: RNDr. Jiří Fink, Ph.D.
• Author: Jakub David - assigned and confirmed by the Study Dept.
• Date of registration: 24.10.2023
• Date of assignment: 24.10.2023
• Confirmed by Study dept. on: 24.10.2023
• Date of electronic submission: 08.05.2024
• Opponents: RNDr. Jiří Švancara, Ph.D.

Guidelines

The goal of the thesis is to study optimization algorithms for controllable electrical devices in a family house (e.g. a heat pump, CHP, washing machine, battery). Student will implement and compare different algorithm (e.g. linear programming, local search, nature inspired algorithms).

References

Cook, William J., et al. "Combinatorial optimisation." Wiley-Interscience Series in Discrete Mathematics and Optimization, USA 1 (1998): 998.
Olarius S., Zomaya A. Y., Handbook of Bioinspired Algorithms and Applications, Chapman & Hall/CRC, 2005.
Vardakas, John S., Nizar Zorba, and Christos V. Verikoukis. "A survey on demand response programs in smart grids: Pricing methods and optimization algorithms." IEEE Communications Surveys & Tutorials 17.1 (2014): 152-178.
Marah, Rim, and Abdelaaziz El Hibaoui. "Algorithms for smart grid management." Sustainable cities and society 38 (2018): 627-635.