TY - GEN
T1 - Matrix based univariate and multivariate linear approach towards Long Term electrical Load Forecasting
AU - Sreekumar, Sreenu
AU - Verma, Jatin
AU - Sujil, A.
AU - Kumar, Rajesh
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/13
Y1 - 2017/2/13
N2 - Long Term Load Forecasting aims to predict the system load over an interval of one year to ten years. The increase in the penetration of renewables in power system demands expansion of transmission structure as well as more flexible generation and better cycling of existing generation. Long term load forecasting plays a crucial role in system resource planning, Staff hiring and expansion of transmission as well as generation. With the advancement in computational techniques, numerous mathematical models for Load Forecasting have been built by researchers. Most of them concentrates on short term load forecasting. This paper implements one univariate and two multivariate simple linear models for long term load forecasting. Accuracy of these models can be improve further by adding various parameters that affecting Load demand like temperature, humidity type of day and growth rate.
AB - Long Term Load Forecasting aims to predict the system load over an interval of one year to ten years. The increase in the penetration of renewables in power system demands expansion of transmission structure as well as more flexible generation and better cycling of existing generation. Long term load forecasting plays a crucial role in system resource planning, Staff hiring and expansion of transmission as well as generation. With the advancement in computational techniques, numerous mathematical models for Load Forecasting have been built by researchers. Most of them concentrates on short term load forecasting. This paper implements one univariate and two multivariate simple linear models for long term load forecasting. Accuracy of these models can be improve further by adding various parameters that affecting Load demand like temperature, humidity type of day and growth rate.
KW - Linear Time Series Model
KW - Long Term Load Forecasting
KW - Short Term Load Forecasting
UR - http://www.scopus.com/inward/record.url?scp=85015876686&partnerID=8YFLogxK
U2 - 10.1109/ICPEICES.2016.7853379
DO - 10.1109/ICPEICES.2016.7853379
M3 - Conference contribution
AN - SCOPUS:85015876686
T3 - 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
BT - 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
Y2 - 4 July 2016 through 6 July 2016
ER -