| 1 |
Medium, short and very short-term prognosis of load demand for the Greek Island of Tilos using artificial neural networks and human thermal comfort-discomfort biometeorological data
Moustris K, Kavadias KA, Zafirakis D, Kaldellis JK
Renewable Energy, 147, 100, 2020 |
| 2 |
Forecasting peak electricity demand for Los Angeles considering higher air temperatures due to climate change
Burillo D, Chester MV, Pincetl S, Fournier ED, Reyna J
Applied Energy, 236, 1, 2019 |
| 3 |
Modelling and forecasting hourly electricity demand in West African countries
Adeoye O, Spataru C
Applied Energy, 242, 311, 2019 |
| 4 |
A comparison of models for forecasting the residential natural gas demand of an urban area
Hribar R, Potocnik P, Silc J, Papa G
Energy, 167, 511, 2019 |
| 5 |
A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model
Su H, Zio E, Zhang JJ, Xu MJ, Li XY, Zhang ZJ
Energy, 178, 585, 2019 |
| 6 |
Demand-side improvement of short-term load forecasting using a proactive load management - a supermarket use case
Glavan M, Gradisar D, Moscariello S, Juricic D, Vrancic D
Energy and Buildings, 186, 186, 2019 |
| 7 |
Load forecasting under changing climatic conditions for the city of Sydney, Australia
Ahmed T, Vu DH, Muttaqi KM, Agalgaonkar AP
Energy, 142, 911, 2018 |
| 8 |
Comparison of dynamic urban building energy models (UBEM): Sigmoid energy signature and physical modelling approach
Nageler P, Koch A, Mauthner F, Leusbrock I, Mach T, Hochenauer C, Heimrath R
Energy and Buildings, 179, 333, 2018 |
| 9 |
Short-term electricity demand forecasting using autoregressive based time varying model incorporating representative data adjustment
Vu DH, Muttaqi KM, Agalgaonkar AP, Bouzerdoum A
Applied Energy, 205, 790, 2017 |
| 10 |
Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model
Panapakidis IP, Dagoumas AS
Energy, 118, 231, 2017 |
