| 1 |
Optimal operations of energy storage systems in multi-application scenarios of grid ancillary services based on electricity price forecasting
Han XJ, Hong ZP, Su Y, Wang ZR
International Journal of Energy Research, 45(5), 7145, 2021 |
| 2 |
A novel hybrid deep neural network model for short-term electricity price forecasting
Huang CJ, Shen YM, Chen YH, Chen HC
International Journal of Energy Research, 45(2), 2511, 2021 |
| 3 |
Size Matters: Estimation Sample Length and Electricity Price Forecasting Accuracy
Fezzi C, Mosetti L
Energy Journal, 41(4), 231, 2020 |
| 4 |
On the impact of outlier filtering on the electricity price forecasting accuracy
Afanasyev DO, Fedorova EA
Applied Energy, 236, 196, 2019 |
| 5 |
A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting
Yang WD, Wang JZ, Niu T, Du P
Applied Energy, 235, 1205, 2019 |
| 6 |
Ensemble of relevance vector machines and boosted trees for electricity price forecasting
Agrawal RK, Muchahary F, Tripathi MM
Applied Energy, 250, 540, 2019 |
| 7 |
Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices
Brusaferri A, Matteucci M, Portolani P, Vitali A
Applied Energy, 250, 1158, 2019 |
| 8 |
A bat optimized neural network and wavelet transform approach for short-term price forecasting
Bento PMR, Pombo JAN, Calado MRA, Mariano SJPS
Applied Energy, 210, 88, 2018 |
| 9 |
Anticipating electricity prices for future needs - Implications for liberalised retail markets
Loi TSA, Le Ng J
Applied Energy, 212, 244, 2018 |
| 10 |
Forecasting day-ahead electricity prices in Europe: The importance of considering market integration
Lago J, De Ridder F, Vrancx P, De Schutter B
Applied Energy, 211, 890, 2018 |
