Electrical Load Forecasting

• Author : S.A. Soliman,Ahmad Mohammad Al-Kandari
• Publisher : Elsevier
• Release : 26 May 2010

Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world’s foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized. The book begins with a good description of the basic theory and models needed to truly understand how the models are prepared so that they are not just blindly plugging

• Author : H. Lee Willis
• Publisher : CRC Press
• Release : 09 August 2002

Containing 12 new chapters, this second edition offers increased coverage of weather correction and normalization of forecasts, anticipation of redevelopment, determining the validity of announced developments, and minimizing risk from over- or under-planning. It provides specific examples and detailed explanations of key points to consider for both standard and unusual utility forecasting situations, information on new algorithms and concepts in forecasting, a review of forecasting pitfalls and mistakes, case studies depicting challenging forecast environments, and load models illustrating various types of

• Author : Derek W. Bunn,E. D. Farmer
• Publisher : John Wiley & Sons Incorporated
• Release : 07 June 1985

Takes a practical look at how short-term forecasting has actually been undertaken and is being developed in public utility organizations.

• Author : Eric Lynn Taylor
• Publisher : Unknown
• Release : 07 June 2023

For optimal power system operation, electrical generation must follow electrical load demand. The generation, transmission, and distribution utilities require some means to forecast the electrical load so they can utilize their electrical infrastructure efficiently, securely, and economically. The short-term load forecast (STLF) represents the electric load forecast for a time interval of a few hours to a few days. This thesis will define STLF as a 24-hour-ahead load forecast whose results will provide an hourly electric load forecast in kilowatts (

• Author : J. Paul Guyer
• Publisher : Guyer Partners
• Release : 14 March 2023

Introductory technical guidance for electrical engineers and other professional engineers interested in electric power load forecasting. Here is what is discussed: 1. LOAD FORECASTING METHODS, 2. COMPUTER MODELS FOR POWER STUDIES.

• Author : H. Lee Willis
• Publisher : CRC Press
• Release : 09 August 2002

Containing 12 new chapters, this second edition offers increased coverage of weather correction and normalization of forecasts, anticipation of redevelopment, determining the validity of announced developments, and minimizing risk from over- or under-planning. It provides specific examples and detailed explanations of key points to consider for both standard and unusual utility forecasting situations, information on new algorithms and concepts in forecasting, a review of forecasting pitfalls and mistakes, case studies depicting challenging forecast environments, and load models illustrating various types of

• Author : Anonim
• Publisher : Unknown
• Release : 07 June 1972

• Author : Kevin Berk
• Publisher : Springer
• Release : 20 January 2015

The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can be used e.g. for estimating the risk of retail contracts. The uncertainty of electricity demand is an important risk factor

• Author : Natalia Gotman,Galina Shumilova,Tatiana Starceva
• Publisher : LAP Lambert Academic Publishing
• Release : 01 March 2014

Electric load forecasting is an important research field in electric power industry. It plays a crucial role in solving a wide range of tasks of short-term planning and operating control of electric power system operating modes. Load forecasting is carried out in different time spans. Load forecasting within a current day - operating forecasting; one-day-week-month-ahead load forecasting - short-term load forecasting; one-month-quarter-year-ahead load forecasting - long-term load forecasting. So far a great number of both conventional and non-conventional electric load

• Author : Wei-Chiang Hong,Ming-Wei Li,Guo-Feng Fan
• Publisher : MDPI
• Release : 29 January 2019

This book is a printed edition of the Special Issue "Short-Term Load Forecasting by Artificial Intelligent Technologies" that was published in Energies

• Author : Mohamed E. El-Hawary
• Publisher : John Wiley & Sons
• Release : 12 July 2017

A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of the world’s foremost names in the field who address a range of critical

• Author : Valentin A. Boicea
• Publisher : CRC Press
• Release : 27 June 2021

This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of

• Author : João P. S. Catalão
• Publisher : CRC Press
• Release : 19 December 2017

Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling helps readers develop their skills in modeling, simulating, and optimizing electric power systems. Carefully balancing theory and practice, it presents novel, cutting-edge developments in forecasting and scheduling. The focus is on understanding and solving pivotal problems in the management of electric power generation systems. Methods for Coping with Uncertainty and Risk in Electric Power Generation Outlining real-world problems, the book begins with an overview of electric power generation systems. Since

• Author : Ali Hashemifarzad
• Publisher : Unknown
• Release : 07 June 2023

• Author : Antonio Gabaldón,María Carmen Ruiz-Abellón,Luis Alfredo Fernández-Jiménez
• Publisher : MDPI
• Release : 26 February 2021

Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several