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Applied energy, ISSN 0306-2619, 2017, Volume 208, pp. 344 - 360
•We propose a new algorithm—Multi-Objective Whale Optimization Algorithm (MOWOA).•A novel hybrid system based on MOWOA is proposed for wind speed forecasting... 
Forecasting accuracy and stability | Hybrid forecasting system | Multi-Objective Whale Optimization Algorithm | Wind speed forecasting | REGRESSION | MULTIOBJECTIVE OPTIMIZATION | ENERGY & FUELS | CHINA | POWER | TIME | ARTIFICIAL NEURAL-NETWORKS | PREDICTION | ENGINEERING, CHEMICAL | EMPIRICAL MODE DECOMPOSITION | SPECTRUM | Algorithms | Cetacea | Mathematical optimization | Analysis
Journal Article
Journal Article
SAE technical paper series, Volume 2007-01-0274.
...) control system development. This paper presents the Integrated Modeling Environment which facilitates the design and development methodology for the production control algorithms to seamlessly move from simulation... 
Hybrid engines
eJournal
SAE technical paper series, Volume 951398.
Real-time algorithms which provide the earliest possible indication of off-nominal Space Shuttle Main Engine (SSME... 
Hybrid engines | Spacecraft
eJournal
SAE technical paper series, Volume 2004-01-2607.
Developed control algorithm of series power train for fuel cell transit bus is presented systematically, which keeps fuel cell pack's operation points on the locus of highest efficiency... 
Hybrid engines | Mathematical analysis | Buses
eJournal
SAE technical paper series, Volume 2003-01-2312.
Logic threshold control algorithm for parallel hybrid electric power train is presented systematically, in which engine operation points are limited within higher efficient area by logic threshold... 
Hybrid engines | Electric drives | Hybrid power | Energy storage systems | Electric motors
eJournal
SAE technical paper series, Volume 2003-01-3281.
Developed control algorithm for series hybrid electric power train is presented systematically, which keeps engine operation points on the locus of highest efficiency torque/speed points using... 
Diesel / Compression Ignition engines | Hybrid engines | Hybrid power | Mathematical models | Spark ignition engines | Electric motors
eJournal
SAE technical paper series, Volume 2016-01-1238.
... the vehicle’s traction-force demand. In this paper, a novel methodology, combining a history-based prediction algorithm for estimating future traction-force demands with the parameter identification of road grade angle and vehicle mass, is proposed... 
Hybrid engines | Drag | Thermal management | Vehicle performance | Hybrid electric vehicles | Electric motors
eJournal
SAE technical paper series, Volume 2013-01-0572.
This paper introduces an intelligent energy distribution scheme for series plug-in hybrid electric vehicles (PHEVs) which incorporates the complexity of human... 
Vehicle performance | Hybrid electric vehicles | Adaptive control
eJournal
SAE technical paper series, Volume 2013-01-0572.
This paper introduces an intelligent energy distribution scheme for series plug-in hybrid electric vehicles (PHEVs) which incorporates the complexity of human... 
Vehicle performance | Hybrid electric vehicles | Adaptive control
eJournal
SAE technical paper series, Volume 2013-01-0411.
..., which is more effective to improve the rate of energy recovery and the braking stability. A braking force distribution algorithm for hybrid electric bus based on EBS was designed in this paper... 
Electronic braking systems | Buses | Hybrid electric vehicles
eJournal
SAE technical paper series, Volume 2013-01-0411.
..., which is more effective to improve the rate of energy recovery and the braking stability. A braking force distribution algorithm for hybrid electric bus based on EBS was designed in this paper... 
Electronic braking systems | Buses | Hybrid electric vehicles
eJournal
SAE technical paper series, Volume 2004-01-3040.
This paper presents a new strategy developed for optimizing the energy flow by using genetic algorithm (GA... 
Hybrid engines | Computer simulation | Fuel cells
eJournal
SAE technical paper series, Volume 2004-01-3039.
.... To meet that challenge, extensive use of Computer Aided Engineering simulation and analysis is necessary to quickly design, develop and verify control algorithms ready for production... 
CAD, CAM, and CAE | Hybrid engines
eJournal
SAE technical paper series, Volume 2015-01-1219.
Using measurable physical input variables, an implementable control algorithm for parallel architecture plug-in and non-plug-in hybrid electric vehicle (PHEV and HEV... 
Electric drives | Engine control systems | Hybrid electric vehicles
eJournal
SAE technical paper series, Volume 2004-01-0424.
.... One multi-injection gasoline engine and one turbocharged diesel engine are selected to manifest the algorithm of engine torque estimation and the experiments show fairly good results for both engines... 
Electronic control systems | Diesel / Compression Ignition engines | Hybrid engines | Mathematical analysis | Crankshafts | Electric power | On-board diagnostics (OBD) | Spark ignition engines | Electric motors
eJournal
SAE technical paper series, Volume 1999-01-1157
Recent studies have demonstrated that fast charging techniques can significantly extend the effective daily range of lead acid battery powered EVs. Further,... 
Hybrid engines | Energy storage systems
eJournal
SAE technical paper series, Volume 2016-01-2359.
.... An Energy Management System (EMS) with Model Predictive Control-based (MPC) algorithm is presented for a specific case of heavy-duty EV... 
Electric power | Hybrid power | Engine control systems | Hardware-in-the-loop
eJournal
SAE technical paper series, Volume 2015-01-1223.
An approach is being pursued for a series hybrid electric vehicle (SHEV). The twin goals of maximizing Fuel Economy (FE) and improving consumer acceptance has... 
Lithium-ion batteries | Hybrid electric vehicles
eJournal
Solar energy, ISSN 0038-092X, 2015, Volume 115, pp. 632 - 644
...) is coupled with Firefly Algorithm (FFA).•The performance of SVM–FFA method is validated against two existing techniques.•The proposed SVM... 
Hybrid model | Support vector machine | Meteorological parameters | Firefly algorithm | Global solar radiation prediction | STAND-ALONE | REGRESSION | ENERGY & FUELS | PARAMETERS | PSO | ENERGY-SYSTEMS | ARTIFICIAL NEURAL-NETWORKS | IRRADIANCE | KERNEL | OPTIMIZATION | MEASURED METEOROLOGICAL DATA | Algorithms | Analysis | Machine learning | Radiation
Journal Article
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