power systems loss

DATA SCIENCE FOR DISTRIBUTION LOSS MANAGEMENT Data Science as defined in wikipedia is is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. Data science is a "concept to unify statistics, data analysis, informatics, and their related methods" in order to "understand and analyse actual phenomena" with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. However, data science is different from computer science and information science. Turing Award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational, and now data-driven) and a

LOAD PROFILE SHAPE OBJECTIVES FOR DEMAND SIDE MANAGEMENT TUTORIALS Load profile management for demand side management action plan Customer load profile is an excellent guide in implementing demand side management . This serves as a monitoring tool for in which action plan method is to be applied. Levelling the load profile behaviour of the customer load will maximize the use the utilities generation capacity thus lowering the load factor . This is usually done by shifting some customer loads from peak loads hours to off-peak hours. Alternatively, off-peak load hours can also be increased to reduce the company’s load factor . PEAK CLIPPING Peak clipping refers to the reduction of utility loads during peak demand periods. This can defer the need for additional generation capacity. The net effect is a reduction in both peak demand and total energy consumption. This is usually implemented by direct utility control of consumer appliances or end use equipment. VALLEY FILLING Valley fil

Guidebook prepared by International Institute for Energy Conservation (IIEC) EXECUTIVE SUMMARY The International Institute for Energy Conservation (IIEC) has developed this Guidebook as part of the Pacific Island Demand-Side Management (DSM) initiative, a programme funded by the United Nations Department of Economic and Social Affairs (UNDESA). The purpose of this Guidebook is to facilitate the development, financing and implementation of Demand-Side Management (DSM) projects in the Pacific Island Countries (PICs), by providing guidelines for DSM programme development and documented international DSM case studies. This Guidebook introduces the DSM concepts, gives the reader a perspective on the DSM opportunities in the PICs and provides a compendium of case studies from different sectors and countries and a proposed methodology for implementation of DSM in the Pacific Island utilities.

Reducing electric power loss using the demand side of the utility Reducing losses in an electric utility can be done in many different ways each of its own advantages and disadvantages. Majority of this loss reduction program focuses on the supply side of the utility. To name a few includes conductor wire upgrades, increasing the primary voltages, balancing the currents in each phases, adding line capacitors and many more.