Sectoral energy demand forecasting under an assumption-free data-driven technique

B Ameyaw, L Yao - Sustainability, 2018 - mdpi.com
In order to implement sustainable economic policies, realistic and high accuracy demand
projections are key to drawing and implementing realizable environmentally-friendly energy …

Forecasting renewable energy consumption under zero assumptions

J Ma, A Oppong, K Nketia Acheampong, LA Abruquah - Sustainability, 2018 - mdpi.com
Renewable energy, as an environmentally friendly and sustainable source of energy, is key
to realizing the nationally determined contributions of the United States (US) to the …

Does complexity compensate for accuracy in annual final energy demand forecasting? A multi-methods case study in G7 countries

D Koutsandreas - 2023 19th International Conference on the …, 2023 - ieeexplore.ieee.org
A significant gap exists regarding the method that should be used to accurately forecast the
annual final energy demand. This paper exploits divergent forecasting approaches, ranging …

Forecasting United Kingdom's energy consumption using machine learning and hybrid approaches

DA Bala, M Shuaibu - Energy & Environment, 2024 - journals.sagepub.com
Investigating the current and future dynamics of energy consumption in modern economies
such as the UK is crucial. This paper predicts the UK's energy consumption using data …

Comparative assessment and policy analysis of forecasting quarterly renewable energy demand: Fresh evidence from an innovative seasonal approach with superior …

S Ding, Z Cai, X Qin, X Shen - Applied Energy, 2024 - Elsevier
In the pursuit of sustainable development, accurate renewable energy demand forecasting
holds great significance for climate change mitigation and promoting sustainability …

Energy demand models for policy formulation: a comparative study of energy demand models

SC Bhattacharyya, GR Timilsina - World Bank Policy Research …, 2009 - papers.ssrn.com
This paper critically reviews existing energy demand forecasting methodologies highlighting
the methodological diversities and developments over the past four decades in order to …

Partially linear component support vector machine for primary energy consumption forecasting of the electric power sector in the United States

X Ma, Y Cai, H Yuan, Y Deng - Sustainability, 2023 - mdpi.com
Energy forecasting based on univariate time series has long been a challenge in energy
engineering and has become one of the most popular tasks in data analytics. In order to take …

Multi-Step Energy Demand and Generation Forecasting with Confidence Used for Specification-Free Aggregate Demand Optimization

N Kolokas, D Ioannidis, D Tzovaras - Energies, 2021 - mdpi.com
Energy demand and generation are common variables that need to be forecast in recent
years, due to the necessity for energy self-consumption via storage and Demand Side …

Revisiting energy demand relationship: Theory and empirical application

FJ Hasanov, JI Mikayilov - Sustainability, 2020 - mdpi.com
In this paper, we revisit the theoretical framework for energy demand. We then use this
theoretical framework to empirically model the Saudi Arabian industrial electricity demand …

The Power of Combination Models in Energy Demand Forecasting

E Isikli, S Serdarasan - Decision Making Using AI in Energy and …, 2023 - Springer
Accurate and reliable energy demand forecasting is essential for sustainable planning,
operation, and control of energy systems in our ever-changing world, and it can assist …