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I evaluate the out-of-sample forecasting performance of five models of Chinese and Indian energy consumption. The results are mixed, but in general the auto-regressive distributed lag and unobserved components models perform the best over multiple evaluation criteria. I then use these two models...
Persistent link: https://www.econbiz.de/10011114340
forecast may be sufficient. …
Persistent link: https://www.econbiz.de/10011100087
forecast using a dynamic panel-data econometric model and then converted into corresponding quantities of air traffic CO2 …
Persistent link: https://www.econbiz.de/10011106556
the West Texas Intermediate oil price) and 28% (for the Dubai oil price). Moreover, we find that the directional forecast …
Persistent link: https://www.econbiz.de/10011108764
This paper introduces the concept of sister models, and proposes a sister model based load forecast combination method … forecasts yields lower error than each individual forecast by 2% to 10%. …
Persistent link: https://www.econbiz.de/10011161430
The classical approach to long term load forecasting is often limited to the use of load and weather information occurring with monthly or annual frequency. This low resolution, infrequent data can sometimes lead to inaccurate forecasts. Load forecasters often have a hard time explaining the...
Persistent link: https://www.econbiz.de/10011165883
Energy forecasting is one of those areas of great importance to electric grid that gets little attention - even from power industry insiders. But you need to know how to make the best of your forecasting process. Here are 13 tips to get you started.
Persistent link: https://www.econbiz.de/10011165884
Electric load forecasting is a fundamental business process and well-established analytical problem in the utility industry. Due to various characteristics of electricity demand series and the business needs, electric load forecasting is a classical textbook example and popular application field...
Persistent link: https://www.econbiz.de/10011165886
The question of energy supply continuity is essential from the perspective of the functioning of society and the economy today. The study describes modern methods of forecasting emergency situations using Artificial Intelligence (AI) tools, especially neural networks. It examines the structure...
Persistent link: https://www.econbiz.de/10011166184
care is required in order to achieve these forecast improvements. Rich multivariate models are needed to exploit the …, shrinkage and forecast combinations. …
Persistent link: https://www.econbiz.de/10011257447