Emergency response operations in electric distribution systems involve a host of decision-making problems at the reliability, performance monitoring and evaluation, and contingency planning levels. Those operations include fault diagnosis, fault location, fault isolation, restoration, and repair. As the first of a two-part survey, this paper reviews optimization models and solution methodologie...

BACKGROUND Dengue is an increasingly incident disease across many parts of the world. In response, an evidence-based handbook to translate research into policy and practice was developed. This handbook facilitates contingency planning as well as the development and use of early warning and response systems for dengue fever epidemics, by identifying decision-making processes that contribute to t...

Success is the result of planning, hard work, determination, foresight, and a little bit of luck. Unfortunately, nobody has thought to pave the road to success. Although failure can be discouraging and time-consuming, it presents incredible learning opportunities-the biggest difference between those who succeed and those who abandon their projects lies in their response to adversity. This artic...

We extend a static mixed integer disjunctive (MID) transmission expansion planning model so as to deal with circuit contingency criterion. The model simultaneously represents the network constraints for base case and each selected circuit contingency. The MID approach allows a commercial optimization solver to achieve and prove solution optimality. The proposed approach is applied to a regional...

The 3-month Outlook provides an indication of temperature and rainfall conditions in the next 3 months, averaged over the UK. It is part of a suite of forecasts designed and produced on behalf of Government, for use by contingency planners, and is one of several tools used in environmental risk planning by a number of different sectors. The 3-month Outlook should not be used in isolation. It is...

Markov Decision Processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely general and because many algorithms exist for deriving optimal plans. In contrast, CP is normally performed using heuristic techniques that do not guarantee optimality, but the resulting plans are more compact and more un...

Ensuring that the daily movement of millions of passengers and tons of goods in the Metropolitan Region of Rio de Janeiro-with a population of more than 10 million peoplecan be satisfactorily and safely accomplished is a complex task. It involves several transportation modes; federal, state, and local agencies; public and private operators; and skilled personnel. Very often parts of the system ...