Improved owl search algorithm for optimal capacity determination of the gas engine in a CCHP system using 4E analysis

[1]  Sepehr Sanaye,et al.  Applying relative equivalent uniform annual benefit for optimum selection of a gas engine combined cooling, heating and power system for residential buildings , 2016 .

[2]  Noradin Ghadimi,et al.  A new prediction model of battery and wind-solar output in hybrid power system , 2019, J. Ambient Intell. Humaniz. Comput..

[3]  Noradin Ghadimi,et al.  Optimal preventive maintenance policy for electric power distribution systems based on the fuzzy AHP methods , 2016, Complex..

[4]  Jianxin Wang,et al.  Sound Localization from Binaural Cues by the Barn Owl Auditory System , 2018 .

[5]  Pouria Ahmadi,et al.  Fluid selection optimization of a combined cooling, heating and power (CCHP) system for residential applications , 2016 .

[6]  Jian Liu,et al.  Comparative study of posteriori decision-making methods when designing building integrated energy systems with multi-objectives , 2019, Energy and Buildings.

[7]  Ruzhu Wang,et al.  COMBINED COOLING, HEATING AND POWER: A REVIEW , 2006 .

[8]  Sami Kara,et al.  The optimal selection of on-site CHP systems through integrated sizing and operational strategy , 2014 .

[9]  Erik Valdemar Cuevas Jiménez,et al.  A Multimodal Optimization Algorithm Inspired by the States of Matter , 2018, Neural Processing Letters.

[10]  Jagdish Chand Bansal Particle Swarm Optimization , 2018, Studies in Computational Intelligence.

[11]  Zacharias B. Maroulis,et al.  A systematic approach to evaluate the economic viability of Combined Cooling Heating and Power systems over conventional technologies , 2018 .

[12]  Hoseyn Sayyaadi,et al.  A methodology to obtain the foremost type and optimal size of the prime mover of a CCHP system for a large-scale residential application , 2018 .

[13]  Benedikt Grothe,et al.  How the Barn Owl Computes Auditory Space , 2018, Trends in Neurosciences.

[14]  Vijay Kumar,et al.  Emperor penguin optimizer: A bio-inspired algorithm for engineering problems , 2018, Knowl. Based Syst..

[15]  Navid Razmjooy,et al.  Optimal configuration and energy management for combined solar chimney, solid oxide electrolysis, and fuel cell: a case study in Iran , 2019, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects.

[16]  Ayda Darvishan,et al.  Fuzzy-based heat and power hub models for cost-emission operation of an industrial consumer using compromise programming , 2018, Applied Thermal Engineering.

[17]  Mehdi Hosseinzadeh,et al.  A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on Mixed Integer Genetic Algorithm , 2018, Eng. Appl. Artif. Intell..

[18]  Haiguo Tang,et al.  A new wind power prediction method based on ridgelet transforms, hybrid feature selection and closed-loop forecasting , 2018, Adv. Eng. Informatics.

[19]  Noradin Ghadimi,et al.  Multi-objective energy management in a micro-grid , 2018, Energy Reports.

[20]  Pedro J. Mago,et al.  Evaluation of a turbine driven CCHP system for large office buildings under different operating strategies , 2010 .

[21]  Jinjun Chen,et al.  Special Focus on Pigeon-Inspired Optimization A pigeon-inspired optimization algorithm for many-objective optimization problems , 2019 .

[22]  Sepehr Sanaye,et al.  Applying Relative Net Present or Relative Net Future Worth Benefit and exergy efficiency for optimum selection of a natural gas engine based CCHP system for a hotel building , 2016 .

[23]  Leandro dos Santos Coelho,et al.  A Novel Metaheuristic Algorithm Inspired by Rhino Herd Behavior , 2018 .

[24]  Wei Wang,et al.  Electricity load forecasting by an improved forecast engine for building level consumers , 2017 .

[25]  Noradin Ghadimi,et al.  The price prediction for the energy market based on a new method , 2018 .

[26]  Nelson Fumo,et al.  Analysis of combined cooling, heating, and power systems based on source primary energy consumption , 2010 .

[27]  Anand Jayant Kulkarni,et al.  Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology , 2018, Future Gener. Comput. Syst..

[28]  Xia Li,et al.  Combustion optimization of a boiler based on the chaos and Lévy flight vortex search algorithm , 2018, Applied Mathematical Modelling.

[29]  Mohammad Ghiasi,et al.  Extracting Appropriate Nodal Marginal Prices for All Types of Committed Reserve , 2019 .

[30]  Chenghui Zhang,et al.  An integrated design for hybrid combined cooling, heating and power system with compressed air energy storage , 2018 .

[31]  Hasan Saadi‐Quchan Atigh,et al.  Optimal sizing of gas engine in combined cooling heat and power systems by a proposed evaluation function and genetic algorithm optimization methods based on 4E analysis , 2019 .

[32]  Karzan Wakil,et al.  RETRACTED: Risk-assessment of photovoltaic-wind-battery-grid based large industrial consumer using information gap decision theory , 2018, Solar Energy.

[33]  Noradin Ghadimi,et al.  A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets , 2017, J. Intell. Fuzzy Syst..

[34]  Ali Keshavarz,et al.  Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates , 2013 .

[35]  Ju-Jang Lee,et al.  Chaotic local search algorithm , 1996, Artificial Life and Robotics.

[36]  Vijander Singh,et al.  Owl search algorithm: A novel nature-inspired heuristic paradigm for global optimization , 2018, J. Intell. Fuzzy Syst..