[PDF][PDF] Methods and models for electric load forecasting: a comprehensive review
Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and
plays a crucial role in electric capacity scheduling and power systems management and …
plays a crucial role in electric capacity scheduling and power systems management and …
Data analytics in the supply chain management: Review of machine learning applications in demand forecasting
A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …
social networks, several business models have been disrupted. This disruption brings a …
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 …
Electrical load forecasting using LSTM, GRU, and RNN algorithms
Forecasting the electrical load is essential in power system design and growth. It is critical
from both a technical and a financial standpoint as it improves the power system …
from both a technical and a financial standpoint as it improves the power system …
Long short-term memory network-based metaheuristic for effective electric energy consumption prediction
The Electric Energy Consumption Prediction (EECP) is a complex and important process in
an intelligent energy management system and its importance has been increasing rapidly …
an intelligent energy management system and its importance has been increasing rapidly …
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
The use of wind energy plays a vital role in society owing to its economic and environmental
importance. Knowing the wind power generation within a specific time window is useful for …
importance. Knowing the wind power generation within a specific time window is useful for …
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Electricity price forecasting is a key aspect for market participants to maximize their
economic efficiency in deregulated markets. Nevertheless, due to its non-linearity and non …
economic efficiency in deregulated markets. Nevertheless, due to its non-linearity and non …
Short-term solar power predicting model based on multi-step CNN stacked LSTM technique
Variability in solar irradiance has an impact on the stability of solar systems and the grid's
safety. With the decreasing cost of solar panels and recent advancements in energy …
safety. With the decreasing cost of solar panels and recent advancements in energy …
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 …
A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid
Real-time, accurate, and stable forecasting plays a vital role in making strategic decisions in
the smart grid (SG). This ensures economic savings, effective planning, and reliable and …
the smart grid (SG). This ensures economic savings, effective planning, and reliable and …