Forecasting daily electricity demand using splines
Document title: Forecasting daily electricity demand using splines
Journal: Mathematicae notae
Database: PERIÓDICA
System number: 000169688
ISSN: 0025-553X
Authors: 1
2
Institutions: 1Pontificia Universidade Catolica do Rio de Janeiro, Rio de Janeiro. Brasil
2London School of Economics and Political Science, Department of Statistics, Londres. Reino Unido
Year:
Number: 39
Pages: 103-123
Country: Argentina
Language: Inglés
Document type: Artículo
Approach: Analítico
Disciplines: Matemáticas,
Ingeniería
Keyword: Matemáticas aplicadas,
Ingeniería eléctrica,
Estadística,
Demanda de electricidad,
Cerchas periódicas,
Modelos matemáticos,
Rio de Janeiro,
Brasil
Keyword: Mathematics,
Engineering,
Applied mathematics,
Electrical engineering,
Statistics,
Electricity demand,
Periodic splines,
Mathematical models,
Rio de Janeiro,
Brazil
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