PDF Download: demand forecasting in the electric utility industry eBook

Demand Forecasting For Electric Utilities

Demand Forecasting for Electric Utilities PDF
Author: Clark W. Gellings
Publisher: Prentice Hall
Release: 1992
Size: 31.15 MB
Format: PDF, ePub, Docs
Category : Electric power consumption
Languages : en
Pages : 538
View: 3610

Get Book


A text on forecasting for the electric utility industry, which covers data acquisition and database construction, forecasting to innovative rates, load shape forecasting, software systems available and forecasting the impact of management strategies.

Energy Demand Forecasting

Energy Demand Forecasting PDF
Author: United States. Congress. House. Committee on Science and Technology. Subcommittee on Investigations and Oversight
Publisher:
Release: 1981
Size: 30.27 MB
Format: PDF, Kindle
Category : Electric power consumption
Languages : en
Pages : 363
View: 6167

Get Book



Demand Forecasting In The Electric Utility Industry

Demand Forecasting in the Electric Utility Industry PDF
Author: Clark W. Gellings
Publisher: Fairmont Press
Release: 1996
Size: 71.97 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : un
Pages : 518
View: 6809

Get Book


This work describes the most effective and accurate methods for forecasting of energy services appropriate for the parameters which can be expected to prevail in the 1990s and beyond. It was written specifically to meet the needs of utility managers, analysts and planners.

Intelligent Energy Demand Forecasting

Intelligent Energy Demand Forecasting PDF
Author: Wei-Chiang Hong
Publisher: Springer Science & Business Media
Release: 2013-03-12
Size: 59.65 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : un
Pages : 189
View: 1124

Get Book


As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management. Intelligent Energy Demand Forecasting offers approaches and methods to calculate optimal electric energy allocation to reach equilibrium of the supply and demand. Evolutionary algorithms and intelligent analytical tools to improve energy demand forecasting accuracy are explored and explained in relation to existing methods. To provide clearer picture of how these hybridized evolutionary algorithms and intelligent analytical tools are processed, Intelligent Energy Demand Forecasting emphasizes on improving the drawbacks of existing algorithms. Written for researchers, postgraduates, and lecturers, Intelligent Energy Demand Forecasting helps to develop the skills and methods to provide more accurate energy demand forecasting by employing novel hybridized evolutionary algorithms and intelligent analytical tools.

Monthly Energy Review

Monthly Energy Review PDF
Author:
Publisher:
Release: 1991
Size: 42.75 MB
Format: PDF, ePub, Mobi
Category : Petroleum industry and trade
Languages : en
Pages :
View: 716

Get Book



Evaluation Of The Supply Chain Of Key Industrial Sectors And Its Impact On The Electricity Demand For A Regional Distribution Company

Evaluation of the Supply Chain of Key Industrial Sectors and Its Impact on the Electricity Demand for a Regional Distribution Company PDF
Author: Thiago Arruda Mariotoni
Publisher:
Release: 2008
Size: 54.93 MB
Format: PDF
Category :
Languages : un
Pages :
View: 3834

Get Book


ABSTRACT: Considering the international scenario, in a recent past, the electrical industry was based on the concepts of monopolistic concessions and vertical utilities structures. In Brazil, until recently, the electricity companies were all governmental properties that served restricted monopolized areas. In a similar manner, in the United States, monopolies for certain concession areas were assigned to vertically integrated electric utilities. This monopolistic portfolio brought to the industry, in a generic sense, a lack in the interface between companies and consumers. This fact established a low capacity of obtaining consumer's information and consequently, a low capacity of developing precise demand forecasts. Lately, the industry of electrical energy around the world has passed through immense structural changes, not only in developed countries, but also in developing countries. In this new environment, competition and private capital are fundamental agents. Now, demand forecasting represents a key factor to support decision-making for planning strategies of electricity utilities. In addition to immediate potential benefits to commercial decisions, a framework for electricity demand forecasting can help to take actions aiming to develop more precise yearly budgets as well as to make accurate investments in the infrastructure expansion. With the objective of improving the supply chain perception of the electricity industry, this work analyzes the electricity industry and develops a mathematical tool to accurately support the decision-making process of electricity utilities. CPFL Energy Co., a holding that controls companies and private enterprises in the generation area, electric power distribution, and trading in Brazil, was chosen as the case of study. CPFL Energy Co.'s supply chain was studied to find out the right explanatory variables and an electricity forecasting mathematical model was created through the stepwise regression procedure.

Electric Light Power

Electric Light   Power PDF
Author:
Publisher:
Release: 1960
Size: 76.13 MB
Format: PDF, Kindle
Category : Electric lighting
Languages : en
Pages :
View: 2227

Get Book