A Decision Support System for Short Term Hydropower Scheduling and Reservoir Management in a Competitive Market

WRPMD'99 ◽  
1999 ◽  
Author(s):  
Z. K. Shawwash ◽  
T. K. Siu ◽  
S. O. Russell
1993 ◽  
Vol 23 (6) ◽  
pp. 1078-1095 ◽  
Author(s):  
Robert G. Davis ◽  
David L. Martell

This paper describes a decision support system that forest managers can use to help evaluate short-term, site-specific silvicultural operating plans in terms of their potential impact on long-term, forest-level strategic objectives. The system is based upon strategic and tactical forest-level silvicultural planning models that are linked with each other and with a geographical information system. Managers can first use the strategic mathematical programming model to develop broad silvicultural strategies based on aggregate timber strata. These strategies help them to subjectively delineate specific candidate sites that might be treated during the first 10 years of a much longer planning horizon using a geographical information system and to describe potential silvicultural prescriptions for each candidate site. The tactical model identifies an annual silvicultural schedule for these candidate sites in the first 10 years, and a harvesting and regeneration schedule by 10-year periods for aggregate timber strata for the remainder of the planning horizon, that will maximize the sustainable yield of one or more timber species in the whole forest, given the candidate sites and treatments specified by the managers. The system is demonstrated on a 90 000 - ha area in northeastern Ontario.


ICSSSM11 ◽  
2011 ◽  
Author(s):  
Silei Shan ◽  
Sang Won Yoon ◽  
Mohammad T. Khasawneh ◽  
Tejas Gandhi

2021 ◽  
Vol 48 (1) ◽  
pp. 75-88
Author(s):  
Mehdi Tavakolan ◽  
Sina Mohammadi ◽  
Banafsheh Zahraie

The dynamic nature and increasing complexity of the construction projects impose many challenges for project planning and control. As a project progresses, more information becomes available and the level of uncertainty decreases. It can be used to proactively check the validity of the previous decisions and develop revised and more detailed plans for the upcoming activities in construction planning meetings. For this purpose, this study implements ontological knowledge representation and semantic reasoning techniques to propose an intelligent information collection and decision support system framework for short-term collaborative construction and resource planning. Moreover, a new approach is suggested that allows for incorporating resource specifications and limitations, and complex multi-factor constraints in the ontological planning process. The framework was tested based on a real-world construction project and different application cases were discussed. The framework showed a promising performance for analyzing different scenarios and help the planners making informative decisions.


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