[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
Hybridization of hybrid structures for time series forecasting: A review
Achieving the desired accuracy in time series forecasting has become a binding domain,
and develo** a forecasting framework with a high degree of accuracy is one of the most …
and develo** a forecasting framework with a high degree of accuracy is one of the most …
Applications of random forest in multivariable response surface for short-term load forecasting
GF Fan, LZ Zhang, M Yu, WC Hong, SQ Dong - International Journal of …, 2022 - Elsevier
Accurate load forecasting is helpful for optimizing the use of power resources. To this end,
this investigation proposes a hybrid model for short-term load forecasting, namely the RF …
this investigation proposes a hybrid model for short-term load forecasting, namely the RF …
A transformer-based method of multienergy load forecasting in integrated energy system
Multienergy load forecasting technique is the basis for the operation and scheduling of
integrated energy system. Different types of loads in an integrated energy system, ie …
integrated energy system. Different types of loads in an integrated energy system, ie …
PM2. 5 volatility prediction by XGBoost-MLP based on GARCH models
H Dai, G Huang, H Zeng, F Zhou - Journal of cleaner production, 2022 - Elsevier
In recent, air pollution has a sever impact on public health and economy development
throughout the world. Air pollution consists of a variety of harming components, of which fine …
throughout the world. Air pollution consists of a variety of harming components, of which fine …
Carbon trading volume and price forecasting in China using multiple machine learning models
Motivated by reducing carbon emissions, carbon trading market have been opened to
promote environmental protection. Accurate carbon trading volume and price forecasts have …
promote environmental protection. Accurate carbon trading volume and price forecasts have …
A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer
Global warming is a hot topic of climate change, and its negative impact on oceans, ecology,
and human health has become an indisputable fact. As a major cause of global warming …
and human health has become an indisputable fact. As a major cause of global warming …
Machine-Learning based methods in short-term load forecasting
Short-term load forecasting is of great significance to the secure and efficient operation of
power systems. However, loads can be affected by a variety of external impact factors and …
power systems. However, loads can be affected by a variety of external impact factors and …
Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting
Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also
has a great interest to investors and energy policy maker as well as government. Literature …
has a great interest to investors and energy policy maker as well as government. Literature …
Employing categorical boosting (CatBoost) and meta-heuristic algorithms for predicting the urban gas consumption
L Qian, Z Chen, Y Huang, RJ Stanford - Urban Climate, 2023 - Elsevier
This study was conducted on the presentation of a method to improve the forecast of urban
gas consumption based on the weather variables including temperature, pressure, humidity …
gas consumption based on the weather variables including temperature, pressure, humidity …