A Multi-Objective Generation Expansion Planning with Modeling Load Demand Uncertainty by a Deep Learning- Based Approach

2020 ◽  
Author(s):  
Farzin Ghasemi Olanlari ◽  
Saleh Sadeghi Gougheri ◽  
Amirhossein Nikoofard
Keyword(s):  
Deep Learning ◽  
Demand Uncertainty ◽  
Generation Expansion Planning ◽  
Multi Objective ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Load Demand

scholarly journals Generation expansion planning in electricity market considering uncertainty in load demand and presence of strategic GENCOs

2017 ◽  
Vol 152 ◽  
pp. 92-104 ◽  
Author(s):  
Jaber Valinejad ◽  
Mousa Marzband ◽  
Mudathir Funsho Akorede ◽  
Taghi Barforoshi ◽  
Milutin Jovanović
Keyword(s):  
Electricity Market ◽  
Generation Expansion Planning ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Load Demand

scholarly journals A fuzzy approach to the generation expansion planning problem in a multi-objective environment

2007 ◽  
Vol 22 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Samir Abass ◽  
Eman Massoud
Keyword(s):  
Power System ◽  
Optimal Solution ◽  
Optimization Techniques ◽  
Planning Problem ◽  
Fuzzy Decision ◽  
Generation Expansion Planning ◽  
Multi Objective ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Power System Engineering

In many power system problems, the use of optimization techniques has proved inductive to reducing the costs and losses of the system. A fuzzy multi-objective decision is used for solving power system problems. One of the most important issues in the field of power system engineering is the generation expansion planning problem. In this paper, we use the concepts of membership functions to define a fuzzy decision model for generating an optimal solution for this problem. Solutions obtained by the fuzzy decision theory are always efficient and constitute the best compromise. .

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