Results 41 to 50 of about 3,518,669 (281)

Probabilistic population forecasting: Short to very long-term

International Journal of Forecasting, 2023
Population forecasts are used by governments and the private sector for planning, with horizons up to about three generations (around 2100) for different purposes. The traditional methods are deterministic using scenarios, but probabilistic forecasts are desired to get an idea of accuracy, assess changes, and make decisions involving risks.
Raftery, Adrian E., Ševčíková, Hana
openaire   +2 more sources

Long-Term Forecasting of Internet Backbone Traffic [PDF]

IEEE Transactions on Neural Networks, 2005
We introduce a methodology to predict when and where link additions/upgrades have to take place in an Internet protocol (IP) backbone network. Using simple network management protocol (SNMP) statistics, collected continuously since 1999, we compute aggregate demand between any two adjacent points of presence (PoPs) and look at its evolution at time ...
Konstantina, Papagiannaki, Nina, Taft, Zhi-Li, Zhang, Christophe, Diot   +3 more
openaire   +2 more sources

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory

Zhongguo dianli, 2020
With the continuous development of power industry, the importance of load forecasting is becoming more and more obvious. As an important part of load forecasting, short-term load forecasting is of great significance to the dispatching and operation of ...
Huiru ZHAO, Yihang ZHAO, Sen GUO
doaj   +1 more source

Optimized Deep Stacked Long Short-Term Memory Network for Long-Term Load Forecasting

IEEE Access, 2021
Long-term load forecasting (LTLF) is an essential process for strategical planning of the future needed extension in the power systems of any country.
Tamer Ahmed Farrag, Ehab E. Elattar
doaj   +1 more source

Study on Medium and Long Term Power Load Forecasting Based on Combination Forecasting Model

Chemical Engineering Transactions, 2016
Load forecasting is an important work in the electric power department, and the medium and long term load forecasting is mainly aimed at the electric power generation planning and development planning.
Y. Feng
doaj   +1 more source

Justification of the acceptability of a hybrid approach to passenger and freight flows' predictive modelling in the context of sustainable development [PDF]

E3S Web of Conferences
The relevance of the study is determined by the need for more accurate long-term forecasting in modeling passenger and freight flows. The methodological basis of the study consists of methods of analysis and forecasting of time series, methods of ...
Shapoval Ganna, Vasylenko Igor, Lytvynenko Sergiy, Kostiennikov Oleksii, Valko Alla, Viniukov-Proshchenko Artur   +5 more
doaj   +1 more source

A Study on Load Forecasting of Distribution Line Based on Ensemble Learning for Mid- to Long-Term Distribution Planning

Energies, 2022
The complexity and uncertainty of the distribution system are increasing as the connection of distributed power sources using solar or wind energy is rapidly increasing, and digital loads are expanding. As these complexity and uncertainty keep increasing
Jintae Cho, Yeunggul Yoon, Yongju Son, Hongjoo Kim, Hosung Ryu, Gilsoo Jang   +5 more
doaj   +1 more source

Medium-long term load forecasting method considering industry correlation for power management

Energy Reports, 2021
Medium-long term load forecasting is recognized as the basis of economic dispatch in power systems, and high-precision load forecasting results can provide effective support for power management.
Yuxuan Jiang, Qingqing Huang, Kunming Zhang, Zhian Lin, Tianhan Zhang, Xuetao Hu, Shengyuan Liu, Cenxi Jiang, Li Yang, Zhenzhi Lin   +9 more
doaj   +1 more source

Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network

Sensors, 2022
Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units.
Lichao Sun, Hang Qin, Krzysztof Przystupa, Michal Majka, Orest Kochan   +4 more
doaj   +1 more source

Long-Term Power Load Forecasting Using LSTM-Informer with Ensemble Learning

Electronics, 2023
Accurate power load forecasting can facilitate effective distribution of power and avoid wasting power so as to reduce costs. Power load is affected by many factors, so accurate forecasting is more difficult, and the current methods are mostly aimed at ...
Kun Wang, Junlong Zhang, Xiwang Li, Yaxin Zhang   +3 more
semanticscholar   +1 more source