This paper presents a stochastic optimisation model for locating walk-in clinics for mobile populations in a network. The walk-in clinics ensure a continuum of care for the mobile population across the network by offe...
详细信息
This paper presents a stochastic optimisation model for locating walk-in clinics for mobile populations in a network. The walk-in clinics ensure a continuum of care for the mobile population across the network by offering a perpetuation of services along the transportation lines, and also establishing referral systems to local healthcare facilities. The continuum of care requirements for different diseases is modelled using coverage definitions that are designed specifically to reflect the adherence protocols for services for different diseases. The risk of not providing the required care under different realisations of health service demand is considered. In this paper, for a multi-disease, multi-service environment, we propose a model to determine the location of roadside walk-in clinics and their assigned services. The objective is to maximise the total expected weighted coverage of the network subject to a Conditional-Value-at-Risk (CVaR) measure. This paper presents developed coverage definitions, the optimisation model and the computational study carried out on a real-life case in Africa.
We construct a new time consistent dynamic convex cash-subadditive risk measure in this paper. Different from exist-ing measures, both potential loss and volatility of risky objects are considered. Based on a one-peri...
详细信息
We construct a new time consistent dynamic convex cash-subadditive risk measure in this paper. Different from exist-ing measures, both potential loss and volatility of risky objects are considered. Based on a one-period measure that dis-torts financial values, punishes downside risk yet rewards upside potential, a dynamic time consistent version is con-structed recursively through a modified translation property. We then establish a portfolio selection model and give its optimal condition.
This study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB ...
详细信息
This study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB in an HEMS with different home connection settings and energy consumption/storage/generation capacities are investigated to advise the optimal future HEMS setups. Solar PV are considered as the residential renewal energy supply, which is the main resource of uncertainty of the system. A novel forecasting model is deployed which incorporates geographical information, solar radiation forecast and weather-related conditions into an exponential-based method to simulate day-ahead solar PV output. Optimal flows of energy and usage of storage (batteries) are then captured by a stochastic programming (SP) model and solved by CPLEX. Managerial insights and optimal designs of the HEMS are drawn based on the results obtained.
Uncertain factors can significantly reduce the applicability of production plans and the production stability of enterprises. Therefore, considering the uncertain factors caused by external demands and internal capabi...
详细信息
Power generation of variable renewable energy depends on the weather and therefore has uncertainty. In this paper, we utilize the ensemble prediction to address the uncertainty of solar photovoltaics (PV) power and wi...
详细信息
We consider linear two-stage stochastic programs with mixed-integer recourse. Instead of basing the selection of an optimal first-stage solution on expected costs alone, we include into the objective a risk term refle...
详细信息
We consider linear two-stage stochastic programs with mixed-integer recourse. Instead of basing the selection of an optimal first-stage solution on expected costs alone, we include into the objective a risk term reflecting the probability that a preselected cost threshold is exceeded. After we have put the resulting mean-risk model into perspective with stochastic dominance, we study further structural properties of the model and derive some basic stability results. In the algorithmic part of the paper, we propose a scenario decomposition method and report initial computational experience.
There are various sources of uncertainty in power systems. Solar and wind forecasting inaccuracies, price forecasting errors, load and demand response forecasting volatilities are some types of uncertainty. In additio...
详细信息
There are various sources of uncertainty in power systems. Solar and wind forecasting inaccuracies, price forecasting errors, load and demand response forecasting volatilities are some types of uncertainty. In addition, the possibility of outage of power system components such as lines, generating units, and loads can deteriorate the operation condition and compromise the security of power system. Hence, in order to reach a more secure operation, the uncertainties must be included in the scheduling to enhance the robustness and resiliency of power system against possible imbalances and contingencies. The inclusion of probabilistic concepts into the security-constrained unit commitment (SCUC) makes the solution of this problem more complex. However, incorporation of them into the SCUC ensures the secure operation of the power system and inhibits drastic detriments. Furthermore, the compressed air energy storage (CAES) technology is utilized to mitigate the intermittencies and uncertainties The uncertainties are modeled by using scenario generation techniques. The simulation of a large number of stochastic scenarios considering a variety of uncertainties inclines the results to the most probable condition of realization. The results show that even though the stochastic approaches have higher operational cost but it maintains the security of the system for withstanding against plausible uncertainties and contingencies, which may occur due to whether inaccurate forecasting and consequently inappropriate scheduling or maintaining inadequate generation reserve or transmission capacity. In addition, the integration of CAES units has diminished the total cost of operation and has improved the penetration of renewable resources regard to the congestion of the system, especially at peak hours.
In the literature on evacuation planning, a basic assumption is that all evacuees are fully compliant with respect to the officially planned evacuee-to-facility assignments. However, this assumption is challenged in r...
详细信息
In the literature on evacuation planning, a basic assumption is that all evacuees are fully compliant with respect to the officially planned evacuee-to-facility assignments. However, this assumption is challenged in reality. Hence, we propose two-stage stochastic evacuation pick-up point assignment models, which explicitly incorporate uncertain non-compliance behavior of evacuees. In the first stage, evacuees of each demand point are assigned to a specific transit pick-up point. In the second stage, imbalances of evacuees at each pick-up point are revealed based on the first-stage assignments and the realized non-compliance relevant scenarios. With numerical studies and a case study, we investigate the importance of including correlated stochastic noncompliance behavior in the models, illustrate that our models are effective to produce better pick-up point assignment plans and obtain managerial insights on evacuation planning and model applications.
The combined cooling, heating, and power (CCHP) co-generation system is an alternative for developing sustainable energy systems. Inside a multi-energy CCHP microgrid, electric, heat, and cool demands are supplied wit...
详细信息
Biofuel production relies on stable supply of biomass which would be significantly influenced by climate-induced impacts. Since the actual agricultural outputs are relatively unpredictable in the face of uncertain env...
详细信息
Biofuel production relies on stable supply of biomass which would be significantly influenced by climate-induced impacts. Since the actual agricultural outputs are relatively unpredictable in the face of uncertain environmental conditions and can only be realized in the harvest season, providing useful information regarding the stability of biomass supply to the downstream biofuel industry is crucial. This study firstly illustrates a theoretical framework to explore the resultant market equilibrium and optimal conditions of agricultural and bioenergy production in the face of highly uncertain environmental risks and then employs a two-stage stochastic programming model to investigate the optimal biofuel development and associated economic and environmental effects. The results show that total welfare may not always increase because the loss of other agricultural commodities induced by climate impacts may be greater than the gains received by biofuel production and emission reduction. This study provides insights into the area where artificial intelligence monitoring system can be implemented to analyze the input data associated with agricultural activities and help the biofuel industry to improve its production possibilities.
暂无评论