Energy optimization in a family house
Thesis title in Czech: | Optimalizace energie v rodinném domě |
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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. |