| 1 |
Results of a literature review on methods for estimating buildings energy demand at district level
Ferrari S, Zagarella F, Caputo P, D'Amico A
Energy, 175, 1130, 2019 |
| 2 |
Automatic generation of models for energy demand estimation using Grammatical Evolution
Colmenar JM, Hidalgo JI, Salcedo-Sanz S
Energy, 164, 183, 2018 |
| 3 |
A hybrid BAG-SA optimal approach to estimate energy demand of China
Wu QL, Peng CY
Energy, 120, 985, 2017 |
| 4 |
Robust total energy demand estimation with a hybrid Variable Neighborhood Search - Extreme Learning Machine algorithm
Sanchez-Oro J, Duarte A, Salcedo-Sanz S
Energy Conversion and Management, 123, 445, 2016 |
| 5 |
One-year-ahead energy demand estimation from macroeconomic variables using computational intelligence algorithms
Salcedo-Sanz S, Munoz-Bulnes J, Portilla-Figueras JA, Del Ser J
Energy Conversion and Management, 99, 62, 2015 |
| 6 |
Specification requirements for inter-seasonal heat storage systems in a low energy residential house
Gondre D, Johannes K, Kuznik F
Energy Conversion and Management, 77, 628, 2014 |
| 7 |
A novel hybrid approach based on Particle Swarm Optimization and Ant Colony Algorithm to forecast energy demand of Turkey
Kiran MS, Ozceylan E, Gunduz M, Paksoy T
Energy Conversion and Management, 53(1), 75, 2012 |
| 8 |
Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach
Ceylan H, Ozturk HK
Energy Conversion and Management, 45(15-16), 2525, 2004 |
