Energy forecasting: A review and outlook
Forecasting has been an essential part of the power and energy industry. Researchers and
practitioners have contributed thousands of papers on forecasting electricity demand and …
practitioners have contributed thousands of papers on forecasting electricity demand and …
Forecast combinations: An over 50-year review
Forecast combinations have flourished remarkably in the forecasting community and, in
recent years, have become part of mainstream forecasting research and activities …
recent years, have become part of mainstream forecasting research and activities …
Review of smart meter data analytics: Applications, methodologies, and challenges
The widespread popularity of smart meters enables an immense amount of fine-grained
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
Review of family-level short-term load forecasting and its application in household energy management system
P Ma, S Cui, M Chen, S Zhou, K Wang - Energies, 2023 - mdpi.com
With the rapid development of smart grids and distributed energy sources, the home energy
management system (HEMS) is becoming a hot topic of research as a hub for connecting …
management system (HEMS) is becoming a hot topic of research as a hub for connecting …
Load forecasting techniques for power system: Research challenges and survey
The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …
think tank of power sectors should forecast the future need of electricity with large accuracy …
Using Bayesian deep learning to capture uncertainty for residential net load forecasting
Decarbonization of electricity systems drives significant and continued investments in
distributed energy sources to support the cost-effective transition to low-carbon energy …
distributed energy sources to support the cost-effective transition to low-carbon energy …
Review of low voltage load forecasting: Methods, applications, and recommendations
The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
An improved quantile regression neural network for probabilistic load forecasting
Accurate and reliable load forecasting is essential for decision-making processes in the
electric power industry. As the power industry transitions toward decarbonization, distributed …
electric power industry. As the power industry transitions toward decarbonization, distributed …
An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations
Transportation electrification is a valid option for supporting decarbonization efforts but, at
the same time, the growing number of electric vehicles will produce new and unpredictable …
the same time, the growing number of electric vehicles will produce new and unpredictable …
Impact of high renewable penetration on the power system operation mode: A data-driven approach
The high penetration of renewable energy will substantially change the power system
operation. Traditionally, the annual operation of a power system can be represented by …
operation. Traditionally, the annual operation of a power system can be represented by …