In recent years, machine learning has proven to be a powerful tool for deriving insights from data. this review, we describe ways in which been leveraged facilitate the development and operation of sustainable energy systems. We first provide taxonomy paradigms techniques, along with discussion their strengths limitations. then an overview existing research using production, delivery, storage. ...

Current urban water and energy systems are expanding while increasing attention is paid to their social, economic and environmental impacts. As a research contribution that can support real-world decision making and transitions to sustainable cities and communities, we have built a model-based and data-driven platform combining comprehensive database, agent-based simulation and resource technol...

There is a global drive to develop renewable energy power generation to reduce environmental impacts and enhance energy security especially through indigenous resources. Wind energy conversion both on and offshore is one of the most effective technologies to provide sustainable power. In the deployments of such technologies, geographical information systems are extensively used to identify suit...

Environmental Impact Assessment (EIA) has played an important role in environmental protection, especially in developing countries. It is an aid to decision-making and to the minimization or elimination of environmental impacts at an early planning stage. For geothermal energy, which currently plays an important part as a clean energy supply, a well-prepared Environmental Impact Assessment (EIA...

Sustainable development requires implementing suitable policies integrating several competing objectives on economic, environmental, energy and social criteria. Multi-Criteria Decision Analysis (MCDA) using goal programming is a popular and widely used technique to study decision problems in the face of multiple conflicting objectives. MCDA assists policy makers by providing clarity in choosing...

Energy forecasting plays a dominant role in the sustainable development economic optimization, resource planning and secure operation of electric power systems. The variation in energy demand is a major source of uncertainty in planning for future capacity enhancement, resource needs and operation of existing generation resources. Electric utilities need monthly peak and yearly demand forecasti...

In this paper, a new interval-valued fuzzy multi-criteria group decision-making model is proposed to evaluate each of the energy plans with sustainable development criteria for proper energy plan selection. The purpose of this study is divided into two parts: first, it is aimed at determining the weights of evaluation criteria for sustainable energy planning and second at rating sustainable ene...