Long term load projection in high resolution for all countries globally

Probabilistic electric load forecasting: A tutorial review

Hong, T., & Shu, F. (2016) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2015.11.011 · Cited by 1,460

On electricity consumption and economic growth in China

Zhang, C., Zhou, K., Yang, S., & Shao, Z. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.03.071 · Cited by 767

Electricity consumption and economic growth in China

Shiu, A., & Lam, P.-L. (2003) · Energy Policy · doi:10.1016/s0301-4215(02)00250-1 · Cited by 726

Electricity consumption and economic growth in India

Ghosh, S. (2002) · Energy Policy · doi:10.1016/s0301-4215(01)00078-7 · Cited by 631

Electricity consumption forecasting in Italy using linear regression models

Bianco, V., Manca, O., & Nardini, S. (2009) · Energy · doi:10.1016/j.energy.2009.06.034 · Cited by 595

Modeling and Forecasting Electricity Loads and Prices

Weron, R. (2006) · Wiley eBooks · doi:10.1002/9781118673362 · Cited by 575

Electric load forecasting methods: Tools for decision making

Hahn, H., Meyer-Nieberg, S., & Pickl, S. (2009) · European Journal of Operational Research · doi:10.1016/j.ejor.2009.01.062 · Cited by 567

Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

Fan, S., & Hyndman, R. J. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2011.2162082 · Cited by 529

Short-term hourly load forecasting using time-series modeling with peak load estimation capability

Amjady, N. (2001) · IEEE Transactions on Power Systems · doi:10.1109/59.962429 · Cited by 515

Electricity consumption and economic growth: Bounds and causality analyses of OPEC members

Squalli, J. (2006) · Energy Economics · doi:10.1016/j.eneco.2006.10.001 · Cited by 484

Short-Term Load Forecasting for the Holidays Using Fuzzy Linear Regression Method

Song, K., Baek, Y.-S., Hong, D. H., & Jang, G. (2005) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2004.835632 · Cited by 482

Greek long-term energy consumption prediction using artificial neural networks

Ekonomou, L. (2009) · Energy · doi:10.1016/j.energy.2009.10.018 · Cited by 435

Electricity use and economic development

Ferguson, R. B., Wilkinson, W., & Hill, R. (2000) · Energy Policy · doi:10.1016/s0301-4215(00)00081-1 · Cited by 410

On the role of solar photovoltaics in global energy transition scenarios

Breyer, C., Bogdanov, D., Gulagi, A., Aghahosseini, A., Barbosa, L. S. N. S., Koskinen, O., Barasa, M., Caldera, U., Afanasyeva, S., Child, M., et al. (2017) · Progress in Photovoltaics Research and Applications · doi:10.1002/pip.2885 · Cited by 399

Density Forecasting for Long-Term Peak Electricity Demand

Hyndman, R. J., & Shu, F. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2036017 · Cited by 373

Short-term hourly load forecasting using time-series modeling with peak load estimation capability

Amjady, N. (2001) · IEEE Transactions on Power Systems · doi:10.1109/59.932287 · Cited by 350

Long Term Probabilistic Load Forecasting and Normalization With Hourly Information

Hong, T., Wilson, J., & Xie, J. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2274373 · Cited by 343

Models for mid-term electricity demand forecasting incorporating weather influences

Mirasgedis, S., Sarafidis, Y., Georgopoulou, E., Lalas, D. P., MOSCHOVITS, M., Karagiannis, F. E., & PAPAKONSTANTINOU, D. (2005) · Energy · doi:10.1016/j.energy.2005.02.016 · Cited by 286

Analyzing the Impact of Weather Variables on Monthly Electricity Demand

Hor, C.-L., Watson, S., & Majithia, S. (2005) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2005.857397 · Cited by 284

Modeling and forecasting of Turkey’s energy consumption using socio-economic and demographic variables

Kankal, M., Akpınar, A., Kömürcü, M. İ., & Özşahin, T. Ş. (2010) · Applied Energy · doi:10.1016/j.apenergy.2010.12.005 · Cited by 283

Forecasting electricity consumption in New Zealand using economic and demographic variables

Mohamed, Z., & Bodger, P. S. (2004) · Energy · doi:10.1016/j.energy.2004.08.012 · Cited by 279

A novel multi-time-scale modeling for electric power demand forecasting: From short-term to medium-term horizon

Boroojeni, K. G., Amini, M. H., Bahrami, S., Iyengar, S. S., Sarwat, A. I., & Karabaşoğlu, O. (2016) · Electric Power Systems Research · doi:10.1016/j.epsr.2016.08.031 · Cited by 240

Forecasting time series with multiple seasonal patterns

Gould, P., Koehler, A. B., Ord, J. K., Snyder, R. D., Hyndman, R. J., & Vahid-Araghi, F. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2007.08.024 · Cited by 194

Forecasting annual gross electricity demand by artificial neural networks using predicted values of socio-economic indicators and climatic conditions: Case of Turkey

Günay, M. E. (2015) · Energy Policy · doi:10.1016/j.enpol.2015.12.019 · Cited by 179

Turkey’s short-term gross annual electricity demand forecast by fuzzy logic approach

Küçükali, S., & Baris, K. (2010) · Energy Policy · doi:10.1016/j.enpol.2009.12.037 · Cited by 162

Short Term Electric Load Forecasting: A Tutorial

Kyriakides, E., & Polycarpou, M. M. (2006) · Springer eBooks · doi:10.1007/978-3-540-36122-0_16 · Cited by 129

Computational Intelligence Techniques for Short-Term Electric Load Forecasting

Tzafestaş, S. G., & Tzafestas, E. (2001) · Journal of Intelligent & Robotic Systems · doi:10.1023/a:1012402930055 · Cited by 120

Forecasting day-ahead electricity load using a multiple equation time series approach

Clements, A. E., Hurn, S., & Li, Z. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.12.030 · Cited by 116

Forecasting electricity demand for Turkey: Modeling periodic variations and demand segregation

Yukseltan, E., Yücekaya, A., & Bilge, A. H. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.02.054 · Cited by 110

A novel modeling approach for hourly forecasting of long-term electric energy demand

Filik, Ü. B., Gerek, Ö. N., & Kurban, M. (2010) · Energy Conversion and Management · doi:10.1016/j.enconman.2010.06.059 · Cited by 107

Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing

Taylor, J. W., & Snyder, R. D. (2011) · Omega · doi:10.1016/j.omega.2010.03.004 · Cited by 83

Long term electricity consumption forecast in Brazil: A fuzzy logic approach

TORRINI, F. C., Souza, R. C., Oliveira, F. L. C., & Pessanha, J. F. M. (2016) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2015.12.002 · Cited by 82

Analysis and long term forecasting of electricity demand trough a decomposition model: A case study for Spain

García, J. P., & Carcedo, J. M. (2016) · Energy · doi:10.1016/j.energy.2015.11.055 · Cited by 77

Climate change and electricity demand in Brazil: A stochastic approach

Trotter, I. M., Bolkesjø, T. F., Féres, J. G., & Hollanda, L. (2016) · Energy · doi:10.1016/j.energy.2016.02.120 · Cited by 64

Acclimation and the response of hourly electricity loads to meteorological variables

Wang, Y., & Bielicki, J. M. (2017) · Energy · doi:10.1016/j.energy.2017.10.037 · Cited by 61

Integrating long-term economic scenarios into peak load forecasting: An application to Spain

Carcedo, J. M., & García, J. P. (2017) · Energy · doi:10.1016/j.energy.2017.08.113 · Cited by 57

Electricity consumption modelling: A case of Germany

Do, L. P. C., Lin, K.-H., & Molnár, P. (2016) · Economic Modelling · doi:10.1016/j.econmod.2016.02.010 · Cited by 55

Power system sensitivity to extreme hydrological conditions as studied using an integrated reservoir and power system dispatch model, the case of Ethiopia

Demissie, A. A., & Solomon, A. A. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.08.106 · Cited by 42

Long-term GDP forecasts and the prospects for growth

Modis, T. (2013) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2013.02.010 · Cited by 34

Classification of electricity load forecasting based on the factors influencing the load consumption and methods used: An-overview

Mustapha, M., Mustafa, M. W., Khalid, S. N., Abubakar, I., & Shareef, H. (2015) · IEEE Conference on Energy Conversion · doi:10.1109/cencon.2015.7409585 · Cited by 27

Future development trends in electricity demand

Koreneff, G., Ruska, M., Kiviluoma, J., Shemeikka, J., Lemström, B., Alanen, R., & Koljonen, T. (2009) · Cited by 22

PCA-based Least Squares Support Vector Machines in Week-Ahead Load Forecasting

Afshin, M., & Sadeghian, A. (2007) · IEEE/IAS Industrial & Commercial Power Systems Technical Conference (I&CPS) · doi:10.1109/icps.2007.4292100 · Cited by 19

Systematic mapping of power system models: Expert survey

Ricardo, F. B. C., Careri, F., Kavvadias, K. C., Ignacio, H. G., Andreas, Z., & Efstathios, P. (2017) · Joint Research Centre (European Commission) · doi:10.2760/422399 · Cited by 19

Full energy sector transition towards 100% renewable energy supply: Integrating power, heat, transport and industry sectors including desalination

Bogdanov, D., Gulagi, A., Fasihi, M., & Breyer, C. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116273 · Cited by 421

Geophysical constraints on the reliability of solar and wind power worldwide

Tong, D., Farnham, D. J., Duan, L., Zhang, Q., Lewis, N. S., Caldeira, K., & Davis, S. J. (2021) · Nature Communications · doi:10.1038/s41467-021-26355-z · Cited by 364

Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World

Khalili, S., Rantanen, E., Bogdanov, D., & Breyer, C. (2019) · Energies · doi:10.3390/en12203870 · Cited by 290

Trends in the global cement industry and opportunities for long-term sustainable CCU potential for Power-to-X

Farfan, J., Fasihi, M., & Breyer, C. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.01.226 · Cited by 267

Towards sustainable development in the MENA region: Analysing the feasibility of a 100% renewable electricity system in 2030

Aghahosseini, A., Bogdanov, D., & Breyer, C. (2020) · Energy Strategy Reviews · doi:10.1016/j.esr.2020.100466 · Cited by 246

Long-term load forecasting in high resolution for all countries globally

Toktarova, A. (2017) · Doria (University of Helsinki)

Long Term Electricity Demand and Hourly Load Forecasting for Countries of the World

Sieed, J. (2024) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.10925463

A Methodology for Long-term Hourly Electricity Demand Forecasting driven by GDP and Invariant Load ProfilesPreprint

Dhar, S., Parmar, A., Qiu, H., Senga, J. R. L., & Viswanathan, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7594939

A Stability-Driven Framework for Long-Term Hourly Electricity Demand ForecastingPreprint

Dhar, S., Parmar, A., Qiu, H., Senga, J. R. L., & Viswanathan, S. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5361323

Hourly Forecasting of Long Term Electric Energy Demand Using a Novel Modeling Approach

Filik, Ü. B., Gerek, Ö. N., & Kurban, M. (2009) · International Conference on Innovative Computing, Information and Control · doi:10.1109/icicic.2009.231 · Cited by 15