| 1 |
Machine learning-based energy consumption clustering and forecasting for mixed-use buildings
Culaba AB, Del Rosario AJR, Ubando AT, Chang JS
International Journal of Energy Research, 44(12), 9659, 2020 |
| 2 |
A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China
Ma X, Mei X, Wu WQ, Wu XX, Zeng B
Energy, 178, 487, 2019 |
| 3 |
Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm
Wang L, Hu HL, Ai XY, Liu H
Energy, 153, 801, 2018 |
| 4 |
Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming
Kaboli SHA, Fallahpour A, Selvaraj J, Rahim NA
Energy, 126, 144, 2017 |
| 5 |
Load forecast on intelligent buildings based on temporary occupancy monitoring
Oliveira-Lima JA, Morais R, Martins JF, Florea A, Lima C
Energy and Buildings, 116, 512, 2016 |
| 6 |
Novel effects of demand side management data on accuracy of electrical energy consumption modeling and long-term forecasting
Ardakani FJ, Ardehali MM
Energy Conversion and Management, 78, 745, 2014 |
| 7 |
Online training algorithms based single multiplicative neuron model for energy consumption forecasting
Wu XD, Mao JX, Du ZP, Chang YC
Energy, 59, 126, 2013 |
| 8 |
A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting
Tang L, Yu LA, Wang S, Li JP, Wang SY
Applied Energy, 93, 432, 2012 |
| 9 |
Forecasting building energy consumption with hybrid genetic algorithm-hierarchical adaptive network-based fuzzy inference system
Li KJ, Su HY
Energy and Buildings, 42(11), 2070, 2010 |
