766 Pages
by
CRC Press
760 Pages
by
CRC Press
Also available as eBook on:
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.
Spatial Electric Load Forecasting
Consumer Demand for Power and Reliability
Coincidence and Load Behavior
Load Curve and End-Use Modeling
Weather and Electric Load
Weather Design Criteria and Forecast Normalization
Spatial Load Growth Behavior
Spatial Forecast Accuracy and Error Measures
Trending Methods
Simulation Method: Basic Concepts
A Detailed Look at the Simulation Method
Basics of Computerized Simulation
Analytical Building Blocks for Spatial Simulation
Advanced Elements of Computerized Simulation
Hybrid Trending-Simulation Methods
Advanced Demand Methods: Multi-Fuel and Reliability Models
Comparison and Selection of Spatial Forecast Methods
Development Dimensionality: Urban, Rural and Agrarian Areas
Metropolitan Growth and Urban Redevelopment
Spatial Load Forecasting in Developing Economies
Using Spatial Forecasting Methods Well
Recommendations and Guidelines
Index
Consumer Demand for Power and Reliability
Coincidence and Load Behavior
Load Curve and End-Use Modeling
Weather and Electric Load
Weather Design Criteria and Forecast Normalization
Spatial Load Growth Behavior
Spatial Forecast Accuracy and Error Measures
Trending Methods
Simulation Method: Basic Concepts
A Detailed Look at the Simulation Method
Basics of Computerized Simulation
Analytical Building Blocks for Spatial Simulation
Advanced Elements of Computerized Simulation
Hybrid Trending-Simulation Methods
Advanced Demand Methods: Multi-Fuel and Reliability Models
Comparison and Selection of Spatial Forecast Methods
Development Dimensionality: Urban, Rural and Agrarian Areas
Metropolitan Growth and Urban Redevelopment
Spatial Load Forecasting in Developing Economies
Using Spatial Forecasting Methods Well
Recommendations and Guidelines
Index
Biography
H Lee Willis (Quanta Technology, Cary, North Carolina, USA) (Author)
