Matches in SemOpenAlex for { <https://semopenalex.org/work/W2993754927> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2993754927 startingPage "10" @default.
- W2993754927 abstract "Describes the forecasting process used at Columbia Gas ... accuracy of Design Day Forecasts and Daily Operational Forecasts is very critical ... both time series and regression models play an important role in forecasting. Columbia Gas of Ohio places great importance on its daily forecasting process and has spent six years developing and improving its current daily forecasting techniques. The daily demand forecasts are used in preparing strategic plans, financial projections, rate case and other regulatory proceedings, distribution system design, gas supply & capacity planning, and operational planning. Columbia's forecasting process has resulted in very small error percentages. In fact, results from a 1995 survey administered by the American Gas Association and Canadian Gas Association found Columbia's forecast accuracy to be among the best in the industry. This article discusses Columbia's forecasting process, historical accuracy of the forecast and two major types of daily forecasts developed at Columbia: Design Day Forecast and Daily Operational Forecast. Columbia Gas of Ohio (Columbia) is one of the five distribution subsidiaries of Columbia Energy Group and is the largest natural gas utility in Ohio having nearly 1.3 million customers in more than 1,000 communities. Columbia Gas of Ohio is headquartered in Columbus, Ohio. During 1999 Columbia delivered 99 BCF to Sales customers and 208 BCF to Transport customers. Columbia Energy Group, based in Herndon, Va., is one of the nation's leading energy services companies, with assets of approximately $7 billion. Its operating companies engage in virtually all phases of the natural gas business, including exploration and production, transmission, storage and distribution, as well as retail energy marketing, propane and petroleum product sales, and electric power generation. TYPES OF DAILY FORECASTS Columbia develops two types of daily forecasts: Design Day Forecast and Daily Operational Forecast. While these forecasts are used for different purposes they are developed from a single consistent forecasting process, which we will describe later. DESIGN DAY FORECAST The Design Day Forecast is primarily used to determine the amount of gas supply, transportation capacity, storage capacity and peaking contracts that Columbia needs to serve its contractually firm and human needs customers. Each year Columbia contracts for a portfolio of monthly, seasonal and annual supply contracts designed to meet the seasonal requirements and Design Day requirements for its firm customers. However, these same supply contracts must have purchasing flexibility for Columbia to respond to actual weather (warm or cold) and operating conditions. Many of the supply and capacity contracts contain a fixed cost (Demand Cost) which is paid regardless of use and a variable cost (Commodity Cost). In establishing supply and capacity levels, it is very important that the Design Day Forecast is accurate. If a company's design forecast is not accurate it may not contract for the proper supply and capacity assets. This could place the company's customers at economic or service risk. Over the past seven years Columbia's Mean Absolute Percent Error (MAPE) of the Design Day Forecast has averaged 0.4%. Table 1 shows the annual MAPE for each of the past seven Design Day Forecasts. The Design Day Forecast is based on Columbia's Design Conditions, which consist of the following: Design Current Day Temperature, Design Prior Day Temperature, and Design Wind Speed. DESIGN CONDITIONS Both Design Temperatures are developed based upon the analysis of all available historical weather data going back to 1949. Traditionally, Columbia updates this historical temperature data for analytical purposes approximately every five years. Table 2 shows the Design Temperature and Design Wind Speed for the 4 major geographical areas served by Columbia. …" @default.
- W2993754927 created "2019-12-13" @default.
- W2993754927 creator A5059715640 @default.
- W2993754927 date "2000-07-01" @default.
- W2993754927 modified "2023-09-28" @default.
- W2993754927 title "Daily Demand Forecasting at Columbia Gas" @default.
- W2993754927 hasPublicationYear "2000" @default.
- W2993754927 type Work @default.
- W2993754927 sameAs 2993754927 @default.
- W2993754927 citedByCount "1" @default.
- W2993754927 crossrefType "journal-article" @default.
- W2993754927 hasAuthorship W2993754927A5059715640 @default.
- W2993754927 hasConcept C10138342 @default.
- W2993754927 hasConcept C110121322 @default.
- W2993754927 hasConcept C126071100 @default.
- W2993754927 hasConcept C134306372 @default.
- W2993754927 hasConcept C144024400 @default.
- W2993754927 hasConcept C144133560 @default.
- W2993754927 hasConcept C158016649 @default.
- W2993754927 hasConcept C162853370 @default.
- W2993754927 hasConcept C193809577 @default.
- W2993754927 hasConcept C29595303 @default.
- W2993754927 hasConcept C3018669867 @default.
- W2993754927 hasConcept C33923547 @default.
- W2993754927 hasConcept C39432304 @default.
- W2993754927 hasConceptScore W2993754927C10138342 @default.
- W2993754927 hasConceptScore W2993754927C110121322 @default.
- W2993754927 hasConceptScore W2993754927C126071100 @default.
- W2993754927 hasConceptScore W2993754927C134306372 @default.
- W2993754927 hasConceptScore W2993754927C144024400 @default.
- W2993754927 hasConceptScore W2993754927C144133560 @default.
- W2993754927 hasConceptScore W2993754927C158016649 @default.
- W2993754927 hasConceptScore W2993754927C162853370 @default.
- W2993754927 hasConceptScore W2993754927C193809577 @default.
- W2993754927 hasConceptScore W2993754927C29595303 @default.
- W2993754927 hasConceptScore W2993754927C3018669867 @default.
- W2993754927 hasConceptScore W2993754927C33923547 @default.
- W2993754927 hasConceptScore W2993754927C39432304 @default.
- W2993754927 hasIssue "2" @default.
- W2993754927 hasLocation W29937549271 @default.
- W2993754927 hasOpenAccess W2993754927 @default.
- W2993754927 hasPrimaryLocation W29937549271 @default.
- W2993754927 hasRelatedWork W139765392 @default.
- W2993754927 hasRelatedWork W2017169286 @default.
- W2993754927 hasRelatedWork W2105514650 @default.
- W2993754927 hasRelatedWork W217901957 @default.
- W2993754927 hasRelatedWork W2269144824 @default.
- W2993754927 hasRelatedWork W2312817849 @default.
- W2993754927 hasRelatedWork W24516285 @default.
- W2993754927 hasRelatedWork W2469882247 @default.
- W2993754927 hasRelatedWork W2485882465 @default.
- W2993754927 hasRelatedWork W2531558709 @default.
- W2993754927 hasRelatedWork W2766461178 @default.
- W2993754927 hasRelatedWork W2789531083 @default.
- W2993754927 hasRelatedWork W2799997198 @default.
- W2993754927 hasRelatedWork W3049120253 @default.
- W2993754927 hasRelatedWork W3150311239 @default.
- W2993754927 hasRelatedWork W333262182 @default.
- W2993754927 hasRelatedWork W855678173 @default.
- W2993754927 hasRelatedWork W98560903 @default.
- W2993754927 hasRelatedWork W99068645 @default.
- W2993754927 hasRelatedWork W2838704724 @default.
- W2993754927 hasVolume "19" @default.
- W2993754927 isParatext "false" @default.
- W2993754927 isRetracted "false" @default.
- W2993754927 magId "2993754927" @default.
- W2993754927 workType "article" @default.