Modeling the economic dependence between town development policy and increasing energy effectiveness with neural networks. Case study: the town of Zielona Góra

Pattern recognition and machine learning

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Energy justice: Conceptual insights and practical applications

Sovacool, B. K., & Dworkin, M. H. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.01.002 · Cited by 1,422 · see citing works

Conceptualising energy use and energy poverty using a capabilities framework

Day, R., Walker, G. P., & Simcock, N. (2016) · Energy Policy · doi:10.1016/j.enpol.2016.03.019 · Cited by 789 · see citing works

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Artificial intelligence for the modeling and control of combustion processes: a review

Kalogirou, S. A. (2003) · Progress in Energy and Combustion Science · doi:10.1016/s0360-1285(03)00058-3 · Cited by 647 · see citing works

Book Review: Pattern Recognition and Machine Learning

Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 636 · see citing works

Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption

Neto, A. H., & Fiorelli, F. A. S. (2008) · Energy and Buildings · doi:10.1016/j.enbuild.2008.06.013 · Cited by 616 · see citing works

Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size

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Innovating to zero the building sector in Europe: Minimising the energy consumption, eradication of the energy poverty and mitigating the local climate change

Santamouris, M. (2016) · Solar Energy · doi:10.1016/j.solener.2016.01.021 · Cited by 348 · see citing works

European renewable energy policy at crossroads—Focus on electricity support mechanisms

Fouquet, D., & Johansson, T. B. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.06.023 · Cited by 334 · see citing works

A multi-objective optimization model for building retrofit strategies using TRNSYS simulations, GenOpt and MATLAB

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Modeling hourly diffuse solar-radiation in the city of São Paulo using a neural-network technique

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Fuel poverty, affordability, and energy justice in England: Policy insights from the Warm Front Program

Sovacool, B. K. (2015) · Energy · doi:10.1016/j.energy.2015.09.016 · Cited by 197 · see citing works

Cost optimal and nearly zero energy building solutions for office buildings

Pikas, E., Thalfeldt, M., & Kurnitski, J. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.01.039 · Cited by 165 · see citing works

Modeling of the energy demand of the residential sector in the United States using regression models and artificial neural networks

Kialashaki, A., & REISEL, J. R. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.03.034 · Cited by 146 · see citing works

Building and fuel poverty, an index to measure fuel poverty: An Italian case study

Fabbri, K. (2015) · Energy · doi:10.1016/j.energy.2015.07.073 · Cited by 128 · see citing works

Governing cities for sustainable energy: The UK case

Webb, J., Hawkey, D. J. C., & Tingey, M. (2015) · Cities · doi:10.1016/j.cities.2015.10.014 · Cited by 105 · see citing works

Relaxed conditions for radial-basis function networks to be universal approximators

Liao, Y., Fang, S., & Nuttle, H. L. W. (2003) · Neural Networks · doi:10.1016/s0893-6080(02)00227-7 · Cited by 98 · see citing works

Fuel poverty, excess winter deaths, and energy costs in Vermont: Burdensome for whom?

Teller-Elsberg, J., Sovacool, B. K., Smith, T., et al. (2015) · Energy Policy · doi:10.1016/j.enpol.2015.12.009 · Cited by 96 · see citing works

Fuel poverty in Greece: Quantitative analysis and implications for policy

Atsalis, A., Mirasgedis, S., Tourkolias, C., et al. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.09.025 · Cited by 70 · see citing works

The residential solar block envelope: A method for enabling the development of compact urban blocks with high passive solar potential

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Energy Performance Certificate of building and confidence interval in assessment: An Italian case study

Tronchin, L., & Fabbri, K. (2012) · Energy Policy · doi:10.1016/j.enpol.2012.05.011 · Cited by 66 · see citing works

An integrated multi-criteria scenario evaluation web tool for participatory land-use planning in urbanized areas: The Ecosystem Portfolio Model

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Energy efficiency policies for space heating in EU countries: A panel data analysis for the period 1990–2010

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Apple's changing business model: What should the world's richest company do with all those profits?

Lazonick, W. H., Mazzucato, M., & Tulum, Ö. (2013) · Accounting Forum · doi:10.1016/j.accfor.2013.07.002 · Cited by 59 · see citing works

Sustainable urban energy planning: The case study of a tropical city

Sampaio, H. C., Dias, R. A., & Balestieri, J. A. P. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.12.022 · Cited by 47 · see citing works

The economics of green transition strategies for cities: Can low carbon, energy efficient development approaches be adapted to demand side urban water efficiency?

Topi, C., Esposto, E., & Govigli, V. M. (2016) · Environmental Science & Policy · doi:10.1016/j.envsci.2016.01.001 · Cited by 47 · see citing works

Pain without gain? Reviewing the risks and rewards of investing in Russian coal-fired electricity

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A methodology for estimating rebound effects in non-residential public service buildings: Case study of four buildings in Germany

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Economic conditions for the development of energy efficient civil engineering using RES in the policy of cohesion of the European Union (2014–2020). Case study: The town of Zielona Gora

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Sztuczne sieci neuronowe i ich zastosowanie w elektrotechnice i energetyce

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Modeling Urban Design with Energy Performance

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An Enhanced Sampling-Based Approach to Urban Energy Modelling

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Analiza wzrostu efektywności energetycznej w budownictwie duńskim

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Algorytmy wykorzystujące sieci neuronowe do regulacji węzłów ciepłowniczych

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Sztuczna sieć neuronowa wspomagająca sterowanie oświetleniem ulicznym

Drechny, M., & Kolasa, M. (2016) · Rynek Energii · Cited by 3 · see citing works

Oprogramowanie do modelowania energetycznego budynków

Skrzypek, J., & Górka, A. (2016) · Rynek Instalacyjny · Cited by 1 · see citing works

Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda

Nishant, R., Kennedy, M., & Corbett, J. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102104 · Cited by 1,203 · see citing works

Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100330 · Cited by 536 · see citing works

Toward Energy Efficient Manufacturing Enterprises

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Energy efficiency practices in facilities management in Johannesburg

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Comprehensive Energy Consumption Assessment Based on Industry Energy Consumption Structure Part II: Assessment and Forecasting of Energy Consumption in Key Industries at Zhejiang

Zhang, Y., Zheng, S., Zhou, S., et al. (2022) · IEEE International Electrical and Energy Conference (CIEEC) · doi:10.1109/cieec54735.2022.9845920 · Cited by 3 · see citing works

How to reduce energy consumption by energy audits and energy management: The case of province Jilin in China

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Towards a sustainable energy balance: progressive efficiency and the return of energy conservation

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