H. Lee Willis

Spatial Electric Load Forecasting (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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 demand.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 760
• Erscheinungstermin: 9. August 2002
• Englisch
• ISBN-13: 9781135564636
• Artikelnr.: 58766605

Autorenporträt

H Lee Willis (Quanta Technology, Cary, North Carolina, USA) (Author)

Inhaltsangabe

Spatial Electric Load Forecasting Consumer Demand for Power and
ReliabilityCoincidence and Load BehaviorLoad Curve and End-Use
ModelingWeather and Electric LoadWeather Design Criteria and Forecast
NormalizationSpatial Load Growth BehaviorSpatial Forecast Accuracy and
Error MeasuresTrending MethodsSimulation Method: Basic ConceptsA Detailed
Look at the Simulation MethodBasics of Computerized SimulationAnalytical
Building Blocks for Spatial SimulationAdvanced Elements of Computerized
SimulationHybrid Trending-Simulation MethodsAdvanced Demand Methods:
Multi-Fuel and Reliability ModelsComparison and Selection of Spatial
Forecast MethodsDevelopment Dimensionality: Urban, Rural and Agrarian
AreasMetropolitan Growth and Urban RedevelopmentSpatial Load Forecasting in
Developing EconomiesUsing Spatial Forecasting Methods WellRecommendations
and GuidelinesIndex