| Title | A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry |
|---|---|
| ID_Doc | 63782 |
| Authors | Walther, J; Weigold, M |
| Title | A Systematic Review on Predicting and Forecasting the Electrical Energy Consumption in the Manufacturing Industry |
| Year | 2021 |
| Published | Energies, 14, 4 |
| Abstract | In the context of the European Green Deal, the manufacturing industry faces environmental challenges due to its high demand for electrical energy. Thus, measures for improving the energy efficiency or flexibility are applied to address this problem in the manufacturing industry. In order to quantify energy efficiency or flexibility potentials, it is often necessary to predict or forecast the energy consumption. This paper presents a systematic review of state-of-the-art of existing approaches to predict or forecast the energy consumption in the manufacturing industry. Seventy-two articles are classified according to the defined categories System Boundary, Modelling Technique, Modelling Focus, Modelling Horizon, Modelling Perspective, Modelling Purpose and Model Output. Based on the reviewed articles future research activities are derived. |
| https://www.mdpi.com/1996-1073/14/4/968/pdf?version=1613983348 |
Similar Articles
| ID | Score | Article |
|---|---|---|
64986
|
Rojek, I; Mikolajewski, D; Mrozinski, A; Macko, M Green Energy Management in Manufacturing Based on Demand Prediction by Artificial Intelligence-A Review(2024)Electronics, 13.0, 16 | |
| 17520
|
Pfeilsticker, L; Colangelo, E; Sauer, A Energy Flexibility - A new Target Dimension in Manufacturing System Design and Operation(2019) | |
| 66693
|
Antoniol, RL; Lima, F Digital Manufacturing Tools Applied to Energy Analysis and Decision in Manufacturing Systems(2016) |