الفهرس 
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Abstract
Energy usage as well as end-use efficiency are considered the biggest problems in electric energy today. As the demand on electricity is very higher much more electricity can be generated. This causes electrical energy efficiency to be much lower, especially in peak-time to cover the electric loads. Some countries, for example, gave solution by building additional power plants with expensive cost. This solution helped to solve the problem in the short-term, but not in the long-term because the loads and electrical energy demand are growing every day. Additionally, in the long-term these power plants will fail to fully cover the required loads and will be operating inefficiently. Therefore, the perfect solution is Managing Loads.
The design and application of sophisticated mechanisms for managing and coordinating load demand is known as Demand-Side Management (DSM). It is an essential solution to administration load. It covers economical activities through decreasing demand of electricity during high consumption hours. Managing loads can be applied by using six ways, however, the best way is to shift and control loads through a contract between consumers and electricity suppliers with direct or indirect control in loads, which is based on the tariff of electricity in peak and non-peak times.
On the other hand, Multiagent system (MAS) is a distributed computational intelligence technique that has been applied to reduce the overall consumers’ cost as well as total loads.
In this thesis, the problem of how to