Name
Title | ||
|---|---|---|
Evolutionary algorithms on reducing energy consumption in buildings: An approach to provide smart and efficiency choices, considering the rebound effect. |
Abstract | ||
|---|---|---|
•Energy efficiency can be achieved through an optimal choice of household appliances.•The approach provides the consumer, with savings on consumption, and investment.•Genetic Algorithms provides feasible and different solutions.•Estimating Rebound Effect, allows the consumer to make better options in the future.•The approach, can be extended to other dimensions, to reduced energy consumption. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cie.2018.09.050 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Energy efficiency,Genetic algorithms (GAs),Simplex method,Life Cycle Cost Analysis (LCCA),Indirect Rebound Effect | Rebound effect,Mathematical optimization,Evolutionary algorithm,Efficient energy use,Rebound effect (conservation),Robustness (computer science),Engineering,Energy consumption,Genetic algorithm,Maximization | Journal |
Volume | ISSN | Citations |
126 | 0360-8352 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ricardo B. dos Santos | 1 | 14 | 6.34 |
| J. C. O. Matias | 2 | 3 | 3.48 |
| António Abreu | 3 | 59 | 14.63 |
| Francisco Reis | 4 | 0 | 0.34 |