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Issue DateTitleAuthor(s)
2019-04-15Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecastingJiang, P; Wang, B; Li, H; Lu, H
2022-07A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecastingWang, J; An, Y; Li, Z; Lu, H
2022-12-01Clean energy futures: An Australian based foresight studyGilmore, N; Koskinen, I; van Gennip, D; Paget, G; Burr, PA; Obbard, EG; Daiyan, R; Sproul, A; Kay, M; Lennon, A; Konstantinou, G; Hemer, M; Gui, EM; Gurieff, N
2022-07-01Research of a novel short-term wind forecasting system based on multi-objective Aquila optimizer for point and interval forecastXing, Q; Wang, J; Lu, H; Wang, S
2021-05Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart gridShi, Y; Tuan, HD; Savkin, AV; Lin, C-T; Zhu, JG; Poor, HV
2021-12-01Research of a combined wind speed model based on multi-objective ant lion optimization algorithmAn, Y; Wang, J; Lu, H; Zhao, W
2016-07-01A novel performance measurement approach based on trust context using fuzzy T-norm and S-norm operators: The case study of energy consumptionAzadeh, A; Aryaee, M; Zarrin, M; Saberi, M
2022-09-01Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimizationZhou, Y; Wang, J; Li, Z; Lu, H
2021-11-01A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approachesWang, S; Wang, J; Lu, H; Zhao, W
2020-01-01Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approachQu, X; Yu, Y; Zhou, M; Lin, CT; Wang, X
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