A review on time series forecasting techniques for building energy consumption
Energy consumption forecasting for buildings has immense value in energy efficiency and
sustainability research. Accurate energy forecasting models have numerous implications in …
sustainability research. Accurate energy forecasting models have numerous implications in …
A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
MQ Raza, A Khosravi - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Electrical load forecasting plays a vital role in order to achieve the concept of next
generation power system such as smart grid, efficient energy management and better power …
generation power system such as smart grid, efficient energy management and better power …
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 …
Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with …
F He, J Zhou, Z Feng, G Liu, Y Yang - Applied energy, 2019 - Elsevier
Short-term load forecasting plays an essential role in the safe and stable operation of power
systems and has always been a vital research issue of energy management. In this …
systems and has always been a vital research issue of energy management. In this …
Short term electricity load forecasting using a hybrid model
J Zhang, YM Wei, D Li, Z Tan, J Zhou - Energy, 2018 - Elsevier
Short term electricity load forecasting is one of the most important issue for all market
participants. Short term electricity load is affected by natural and social factors, which makes …
participants. Short term electricity load is affected by natural and social factors, which makes …
Electric vehicle charging load forecasting: A comparative study of deep learning approaches
Load forecasting is one of the major challenges of power system operation and is crucial to
the effective scheduling for economic dispatch at multiple time scales. Numerous load …
the effective scheduling for economic dispatch at multiple time scales. Numerous load …
Day-ahead load forecast using random forest and expert input selection
The electrical load forecast is getting more and more important in recent years due to the
electricity market deregulation and integration of renewable resources. To overcome the …
electricity market deregulation and integration of renewable resources. To overcome the …
A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model
The electric load forecasting is extremely important for energy demand management,
stability and security of power systems. A sufficiently accurate, robust and fast short-term …
stability and security of power systems. A sufficiently accurate, robust and fast short-term …
Meta-ANN–A dynamic artificial neural network refined by meta-learning for Short-Term Load Forecasting
In this paper a dynamic Artificial Neural Network (ANN) model called Meta-ANN is
developed for forecasting the short-term grid load. The primary ingredient of the model is a …
developed for forecasting the short-term grid load. The primary ingredient of the model is a …