A knowledge-based alarm processor for an energy management system

Real Time Fault Monitoring of Industrial Processes

“…Then these quantities are computed sequentially from the following equations: 50) xj(k + 1)lk + 1) = xj(k + llk) + Kj(k + I)Tj(k + 1) Then these quantities are computed sequentially from the following equations: 50) xj(k + 1)lk + 1) = xj(k + llk) + Kj(k + I)Tj(k + 1)…”

Designing Sustainable Smart Cities: Cooperative Energy Management Systems and Applications

“…Meanwhile, deregulation and market liberalization have promoted the decentralization of power systems [16][17][18][19], and therefore, technology development for maintaining local area power quality in the distribution system is required [20][21][22]. With the improvements in required management technology, fundamental functionalities in the system operation, such as the demand forecast [23], state estimation [24,25], visualization [4,26,27] and system security [28][29][30][31][32][33][34][35], have been developed. These basic technologies have contributed to the foundation of advanced energy management systems in the current distribution networks [36][37][38][39].…”

Automated post-fault diagnosis of power system disturbances

“…• The raw data is often uninformative: information relating to plant health or the performance of the power system is implicit rather than explicit; and • The volume of data, especially under storm conditions, renders manual analysis intractable. The requirement for tools and techniques to automate the analysis of different types of power systems data has driven research into the use of artificial intelligence (AI) for the best part of two decades [1][2][3][4][5][6][7][8][9][10][11][12]. As important, although less fully explore in the literature, is the fact the all the data sets above are related; they all contain data relating to how the power system reacts to disturbances.…”