This research aims to estimate the long-term financial benefits of using smart grids to mitigate and adapt the power sector to climate change. In order to do that, twelve scenarios were analyzed applying an energy acc...This research aims to estimate the long-term financial benefits of using smart grids to mitigate and adapt the power sector to climate change. In order to do that, twelve scenarios were analyzed applying an energy accounting model （LEAP （Long-range Energy Alternatives Planning System）） that was developed using Brazilian historical data from 1970 to 2015. To conduct the analysis, the Sathaye and Ravindranath＇s three steps methodology was used. The main final results include a long-term cost-benefit analysis that is developed for each considered scenario. The initial phase includes the analysis of the projections for the power sector up to 2030. The following phase consists on the estimation of costs for operation, maintenance, losses and new electrical projects investments. And finally, all scenarios＇ results were compared and the benefits of implementing smart grids in the sector were estimated. The attained results show that smart grid implementation would contribute to reduce electricity tariffs, the generation costs as well as the costs associated with theft and fraud.展开更多
In financial investment planning,a large number of components that interact in varying and complexways are involved.This leads to complex behavior that is difficult to understand,predict and manage.Asingle intelligent...In financial investment planning,a large number of components that interact in varying and complexways are involved.This leads to complex behavior that is difficult to understand,predict and manage.Asingle intelligent technique can not solve the complicated and elaborate investment planning problems.Itis necessary to study those problems synthetically by combining the multiple intelligent techniques.Weemployed fussy algorithms,genetic algorithms,etc.to solve complicated financial portfolio managementin this paper.We analyse and design an agent-based hybrid intelligent system by following the methodolo-gy for constructing agent-based hybrid intelligent system(MAHIS).The system starts with the financialrisk tolerance evaluation based on fussy algorithms.Asset allocation,portfolio selections,interest predic-tions,and ordered weighted averaging can be conducted by using hybrid intelligent techniques.The plan-ning agent in the system can easily access all the intelligent processing agents,including the agents of fi-nancial risk tolerance assessment,asset allocation,portfolio selection,interest prediction,and decisionaggregation.Overall system robustness is facilitated.展开更多
文摘This research aims to estimate the long-term financial benefits of using smart grids to mitigate and adapt the power sector to climate change. In order to do that, twelve scenarios were analyzed applying an energy accounting model （LEAP （Long-range Energy Alternatives Planning System）） that was developed using Brazilian historical data from 1970 to 2015. To conduct the analysis, the Sathaye and Ravindranath＇s three steps methodology was used. The main final results include a long-term cost-benefit analysis that is developed for each considered scenario. The initial phase includes the analysis of the projections for the power sector up to 2030. The following phase consists on the estimation of costs for operation, maintenance, losses and new electrical projects investments. And finally, all scenarios＇ results were compared and the benefits of implementing smart grids in the sector were estimated. The attained results show that smart grid implementation would contribute to reduce electricity tariffs, the generation costs as well as the costs associated with theft and fraud.
基金the Overseas Scholar Research Foundation of Heilongjiang,China(No.LC0609)
文摘In financial investment planning,a large number of components that interact in varying and complexways are involved.This leads to complex behavior that is difficult to understand,predict and manage.Asingle intelligent technique can not solve the complicated and elaborate investment planning problems.Itis necessary to study those problems synthetically by combining the multiple intelligent techniques.Weemployed fussy algorithms,genetic algorithms,etc.to solve complicated financial portfolio managementin this paper.We analyse and design an agent-based hybrid intelligent system by following the methodolo-gy for constructing agent-based hybrid intelligent system(MAHIS).The system starts with the financialrisk tolerance evaluation based on fussy algorithms.Asset allocation,portfolio selections,interest predic-tions,and ordered weighted averaging can be conducted by using hybrid intelligent techniques.The plan-ning agent in the system can easily access all the intelligent processing agents,including the agents of fi-nancial risk tolerance assessment,asset allocation,portfolio selection,interest prediction,and decisionaggregation.Overall system robustness is facilitated.
