Abstract This study examines the level of preparedness exhibited through strategy, planning and organization to deal with COVID-19 pandemic in Italy. A comparative analysis four regions revealed that implementation plans was affected by multiple factors. For instance, some outdated insufficient cope new threat posed pandemic; due a decentralized health care system, there confusion about whether...

Short Term Load Forecasting(STLF) varies from an hour to hour and is used for requirement for control, unit commitment, security assessment, optimum planning of power generation, and planning of both spinning reserve and energy exchange, also as inputs to load flow studies and contingency analysis. Artificial neural networks (ANN’s) has drawbacks like inputs nodes or hidden nodes which can caus...

Clinicians treating patients with recurrent psychosis should encourage contingency planning with patients and families for how to respond to potential recurrences. Whether or not patients create a formal psychiatric advance directive, patients, families, and clinicians will be better prepared to deal with emergencies if they include "scenario planning" as part of ongoing clinical care. In the c...

This paper proposes a mathematical model for transmission expansion employing optimization method with scenario analysis approach. Economic transmission planning, on the other hand, seeks investment opportunities so that network expansions can generate more economic benefits than the costs. This approach can be used as a decision model for building new transmission lines added to the existing t...

This paper discusses probabilistic methodology for Transmission System Planning. Recent NESCOE memo suggested that current transmission planning procedure at ISO-NE might create inconsistency within the region and between the development plans of various transmission owners. The proposed methodology establishes base cases and contingency testing as means for consistent probabilistic assessment ...

In this paper we describe a computer based simulation application which is designed to support contingency planning – having resources available – in extreme winter condition. First we introduce the background of the simulation sparsely populated areas in Northern Finland where long distances and extremely cold weather can make disturbance situations even more difficult to be normalized by auth...