Open AccessForecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) Method
Author(s) -
Weronika Nitka,
Tomasz Serafin,
Dimitris Sotiros
Publication year - 2021
Publication title -
lecture notes in computer science
Language(s) - Uncategorized
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/978-3-030-77970-2_24
Subject(s) - autoregressive model , electricity , electricity price forecasting , econometrics , electricity market , sample (material) , calibration , computer science , stability (learning theory) , mains electricity , economics , machine learning , statistics , engineering , mathematics , chemistry , chromatography , electrical engineering , voltage
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom